Microsoft 365 Core MCP Server

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation4/5
Most tools have distinct purposes targeting specific Microsoft 365 domains like compliance, device management, or security, with clear boundaries. However, some overlap exists between tools like generate_professional_report and other generate_* tools, which could cause confusion about when to use each.
Naming Consistency5/5
Tool names follow a highly consistent verb_noun pattern throughout, such as manage_*, generate_*, or execute_*. This predictability makes it easy for agents to understand the action and target, with no mixing of conventions like camelCase or snake_case.
Tool Count2/5
With 50 tools, the count is excessive for a single server, making it overwhelming and difficult to navigate. This many tools suggests poor scoping, as a more modular approach with multiple focused servers would be more appropriate for such a broad domain.
Completeness5/5
The tool set provides comprehensive coverage across Microsoft 365 domains, including CRUD operations for resources like users, devices, and policies, as well as advanced functions like reporting and compliance. No obvious gaps are present, enabling agents to handle full workflows.
Average 3.3/5 across 50 of 50 tools scored.
See the Tool Scores section below for per-tool breakdowns.
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```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering key behavioral traits. The description adds minimal context by implying deployment actions but doesn't elaborate on destructive effects (e.g., data loss), authentication needs, or rate limits. It doesn't contradict annotations, so it meets the lower bar with annotations present but adds limited value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It avoids unnecessary words and directly states the tool's scope. While it could be more structured with bullet points or examples, it earns its place by being clear and to the point.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects, no output schema) and annotations that only cover basic hints, the description is insufficient. It lacks details on return values, error handling, or operational constraints, leaving significant gaps for an agent to understand how to use this tool effectively in practice.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, providing detailed parameter documentation. The description mentions app types (Win32, Microsoft Store, Office 365) which loosely map to the 'appType' enum, adding slight semantic context. However, it doesn't explain parameter interactions or usage scenarios beyond what the schema already covers, aligning with the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: managing Windows application deployment with specific app types (Win32, Microsoft Store, Office 365). It uses the verb 'manage' with the resource 'Windows application deployment,' making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'manage_intune_macos_apps' beyond the Windows focus, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, dependencies, or compare it to similar tools like 'manage_intune_macos_apps' or other Intune management tools. Without any usage context, the agent must infer when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, which already inform the agent about mutation capabilities and non-idempotent behavior. The description adds no behavioral context beyond this—no mention of permissions needed, rate limits, side effects, or what 'manage' entails operationally. It doesn't contradict annotations, but provides minimal additional value given the annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It's appropriately sized for a multi-action tool, though it could be slightly more structured (e.g., by listing key actions). There's no wasted verbiage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects, multiple actions, destructive operations) and lack of output schema, the description is insufficient. It doesn't explain the scope of 'manage' across actions like list/get/create/update/delete/assign/deploy, nor does it clarify how policy types interact with actions or what the expected outcomes are. The annotations help, but the description leaves too many operational questions unanswered.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description mentions 'configuration profiles and compliance policies,' which loosely maps to policyType values, but adds no meaningful semantics beyond what the schema already provides. No parameter-specific guidance or examples are included.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Manage') and resources ('Windows configuration profiles and compliance policies'), including specific examples like 'security baselines and update rings.' It distinguishes from some siblings (e.g., manage_intune_macos_policies) by specifying 'Windows,' but doesn't explicitly differentiate from other Intune Windows tools like manage_intune_windows_apps or manage_intune_windows_compliance.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, when to choose this over other Intune management tools (e.g., manage_intune_windows_apps), or any context-specific recommendations. It's a generic statement without usage boundaries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false. The description adds some context by mentioning the types of policies managed (sharing controls, access restrictions, site lifecycle management), which helps clarify what 'destructive' might mean in this context. However, it doesn't provide additional behavioral details like authentication requirements, rate limits, or specific destructive consequences beyond what annotations indicate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It wastes no words and directly communicates what the tool does. However, for such a complex tool with many parameters and destructive potential, the extreme brevity might be insufficient despite being structurally sound.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex, destructive tool with 7 parameters, nested objects, no output schema, and multiple policy types, the description is inadequate. It doesn't explain the relationship between action and other parameters, doesn't clarify what 'manage' entails across different policy types, and provides no information about return values or error conditions. The annotations help but don't compensate for the description's lack of operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all 7 parameters thoroughly. The description mentions policy types (sharing controls, access restrictions) that align with the policyType enum values, but adds no meaningful parameter semantics beyond what the schema provides. The baseline score of 3 reflects adequate coverage through the schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as managing SharePoint governance policies with specific examples (sharing controls, access restrictions, site lifecycle management). It distinguishes itself from siblings like manage_sharepoint_sites or manage_sharepoint_lists by focusing on governance policies rather than site/list operations. However, it doesn't explicitly differentiate from other policy management tools like manage_conditional_access_policies or manage_retention_policies.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, required permissions, or when to choose this over other policy management tools. The agent must infer usage from the tool name and description alone, which is insufficient for a complex governance tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, indicating a safe, repeatable operation. The description adds value by specifying 'comprehensive audit reports' and 'evidence documentation and findings,' which suggests detailed output generation. However, it doesn't disclose behavioral traits like rate limits, authentication needs, or what 'generate' entails (e.g., file creation, data processing). No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary details. It avoids redundancy and waste, though it could be slightly more structured (e.g., separating scope from output features).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects) and rich schema annotations, the description is minimally adequate. It lacks output details (no output schema provided) and doesn't explain the report generation process or behavioral context. However, annotations cover safety aspects, and the schema documents parameters thoroughly, keeping it from being incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description mentions 'compliance frameworks' and 'evidence documentation,' which loosely align with the 'framework' and 'includeEvidence' parameters but don't add meaningful semantics beyond what the schema provides. Baseline 3 is appropriate given high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Generate comprehensive audit reports for compliance frameworks with evidence documentation and findings.' It specifies the verb ('generate'), resource ('audit reports'), and scope ('compliance frameworks'), but doesn't explicitly differentiate from sibling tools like 'generate_professional_report' or 'manage_compliance_assessments' that might overlap in domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context, or exclusions, nor does it reference any sibling tools. The agent must infer usage solely from the tool name and parameters.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a non-readOnly, non-idempotent, non-destructive tool, which the description doesn't contradict. The description adds context about creating 'professional' documents with specific formatting, but doesn't disclose important behavioral traits like authentication needs, rate limits, error conditions, or what happens with existing files. With annotations covering basic safety, this earns a baseline score.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It could be slightly more structured by explicitly mentioning the multi-action nature (create/get/list/export/append) hinted in the schema, but it's appropriately sized without wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 11 parameters, nested objects, no output schema, and annotations covering only basic hints, the description is minimally adequate. It states what the tool does but lacks details on return values, error handling, or advanced usage scenarios that would help an agent use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema fully documents all 11 parameters. The description mentions 'analysis data' which loosely relates to the sections parameter, but adds no specific semantics beyond what the schema provides. The baseline is 3 when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates Word documents with specific formatting features (sections, tables, charts, table of contents) from analysis data. It distinguishes from sibling tools like generate_html_report and generate_powerpoint_presentation by specifying Word documents, but doesn't explicitly differentiate from generate_professional_report which might overlap in purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when-not-to-use scenarios, or compare with sibling tools like generate_professional_report or generate_html_report. The agent must infer usage from the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering safety and idempotency. The description adds context by mentioning 'device compliance, BitLocker keys, and device actions,' which hints at sensitive operations like key management and device state changes. However, it doesn't disclose critical behavioral traits like authentication requirements, rate limits, or side effects of actions like 'delete_device,' which are important given the destructive nature. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose and lists key capabilities. It avoids redundancy and waste, making it easy to parse. However, it could be slightly more structured by separating the main action from the examples, but this is minor.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (3 parameters, destructive operations, no output schema) and rich annotations, the description is minimally adequate. It covers the scope but lacks details on output format, error handling, or integration with sibling tools. For a destructive tool with multiple actions, more context on consequences or usage scenarios would improve completeness, but annotations help mitigate some gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear descriptions for 'action' (enum values), 'deviceId', and 'filter'. The description adds no parameter-specific semantics beyond what the schema provides, such as explaining when 'deviceId' is required or how 'filter' works with OData. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate with additional insights.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage devices registered in Azure AD including device compliance, BitLocker keys, and device actions.' It specifies the verb ('manage') and resource ('devices registered in Azure AD'), and lists key capabilities. However, it doesn't explicitly differentiate from sibling tools like 'manage_intune_windows_devices' or 'manage_intune_macos_devices', which reduces clarity about its specific scope within the broader device management context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools, prerequisites, or contextual factors like permissions or Azure AD vs. Intune management. For example, it doesn't clarify if this is for Azure AD-specific device actions versus broader device management in other tools, leaving the agent to infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, which already inform the agent this is a mutable, non-idempotent operation with potential destructive effects. The description adds context about managing 'privilege escalation controls' which suggests security implications, but doesn't elaborate on specific behaviors like what gets destroyed, authentication requirements, or rate limits. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that clearly states the tool's scope. It's appropriately sized for a multi-action tool and front-loads the key information without unnecessary elaboration. Every word contributes to understanding the tool's domain, though it could be slightly more specific about the 'manage' verb.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 5 parameters, no output schema, and annotations covering safety profile, the description is minimally adequate. It defines the domain but lacks details on return values, error conditions, or operational constraints. The combination of good schema coverage and annotations helps, but the description itself doesn't provide complete context for safe and effective use, especially given the destructive nature hinted by annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself (e.g., action with enum values, roleId, principalId). The description mentions 'role assignments, custom roles, and privilege escalation controls' which loosely maps to some parameters but doesn't add meaningful semantic detail beyond what the schema provides. The baseline of 3 is appropriate given the comprehensive schema documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages Azure AD administrative roles with specific components (role assignments, custom roles, privilege escalation controls). It distinguishes from many siblings like manage_azure_ad_apps or manage_azure_ad_devices by focusing on roles, but doesn't explicitly differentiate from all potential role-related tools. The verb 'manage' is somewhat broad but the resource scope is well-defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or compare with sibling tools like manage_security_groups or manage_service_principals that might overlap in identity management. The agent must infer usage solely from the tool name and description without explicit direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable read operation. The description adds some behavioral context by mentioning 'real-time alerts' and 'policy violations,' which suggests this tool might provide streaming or notification capabilities. However, it doesn't elaborate on rate limits, authentication needs, or what 'monitoring' entails beyond what annotations cover.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point. It's appropriately sized for what it communicates, though it could be more specific. There's no wasted language or unnecessary elaboration, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 parameters including nested objects, multiple action types) and the absence of an output schema, the description is minimally adequate. Annotations provide safety information, but the description doesn't explain what the tool returns or how different actions behave. For a tool with 'configure_monitoring' as an action option (despite readOnlyHint=true), more behavioral context would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all four parameters with descriptions and enums. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it doesn't explain how 'action' choices affect behavior, what 'filters' or 'monitoringSettings' should contain, or how 'framework' selection influences monitoring. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Monitor ongoing compliance status with real-time alerts for policy violations and regulatory changes.' It specifies the verb ('monitor') and resource ('compliance status') with additional context about alerts. However, it doesn't explicitly differentiate from sibling tools like 'manage_compliance_assessments' or 'manage_cis_compliance', which likely handle different aspects of compliance.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or specific scenarios for use. With many sibling tools related to compliance and management, this lack of differentiation leaves the agent guessing about appropriate contexts.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, indicating this is a mutable, potentially destructive tool with non-idempotent operations. The description adds minimal behavioral context beyond this - it mentions 'zero-trust security' as context and lists example controls (MFA, device compliance, location-based), but doesn't elaborate on permissions needed, rate limits, or specific destructive implications. The description doesn't contradict annotations, but adds only modest value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that packs substantial information: the action, resource, context ('zero-trust security'), and examples. There's no wasted language. However, it could be slightly more front-loaded by moving the examples to a second sentence for better scannability, preventing a perfect score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects, destructive operations) and lack of output schema, the description is minimally adequate. It identifies the resource and context but doesn't explain return values, error conditions, or operational constraints. The annotations cover safety profiles, but for a complex security management tool, more guidance on usage patterns and outcomes would be beneficial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema already documents all 8 parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema. It mentions 'MFA, device compliance, and location-based controls' which loosely map to some parameters, but doesn't provide syntax, format, or usage details. The baseline score of 3 is appropriate when the schema does all the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage Azure AD conditional access policies for zero-trust security including MFA, device compliance, and location-based controls.' It specifies the verb ('manage'), resource ('Azure AD conditional access policies'), and provides examples of security controls. However, it doesn't explicitly differentiate this from sibling tools like 'manage_defender_policies' or 'manage_exchange_policies', which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. While it hints at 'zero-trust security' as a context, this is too vague for practical guidance. There's no comparison to sibling tools like 'manage_security_alert_policies' or 'manage_compliance_frameworks' that might overlap in security management.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, indicating this is a mutable, non-idempotent, non-destructive operation. The description adds context about 'remediation actions' and 'user notifications' that suggests behavioral aspects beyond the annotations, but doesn't detail side effects, permissions needed, or rate limits. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be slightly more structured by separating investigation from management aspects. Every phrase adds value, making it appropriately concise for a multi-action tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, mutable actions, no output schema) and rich annotations, the description is adequate but incomplete. It covers the high-level purpose but lacks details on return values, error handling, or action-specific behaviors (e.g., what 'resolve' entails). With no output schema, more context on expected results would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, providing full documentation of all 6 parameters. The description adds no specific parameter semantics beyond implying the tool handles incidents, which aligns with parameters like 'incidentId' and 'action'. It doesn't explain how parameters interact (e.g., 'dateRange' with 'action=list') or add usage examples, so it meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('investigate and manage') and resources ('DLP policy violations and incidents'), including scope ('user notifications and remediation actions'). It distinguishes from some siblings like 'manage_dlp_policies' by focusing on incidents rather than policies, though it doesn't explicitly differentiate from all potential alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when-not-to-use scenarios, or compare it to sibling tools like 'manage_alerts' or 'search_audit_log' that might overlap with incident investigation. Usage is implied through the action parameter but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=false, idempotentHint=true, and destructiveHint=false, indicating this is a mutable but non-destructive, idempotent operation. The description adds context about what types of settings can be managed (mailbox, transport, organization), which is useful beyond the annotations. However, it doesn't disclose important behavioral traits like authentication requirements, rate limits, error conditions, or what happens when settings are updated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It wastes no words but could be slightly more structured by explicitly separating the different setting types. Every word earns its place, making it appropriately concise for a tool with comprehensive schema documentation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 parameters with nested objects, no output schema) and rich annotations, the description is minimally adequate. It covers the scope but lacks details about return values, error handling, or operational constraints. The annotations help, but for a mutable tool managing critical Exchange settings, more contextual guidance would be beneficial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description mentions 'mailbox configuration, transport rules, and organization policies,' which loosely maps to the settingType enum values, but doesn't add meaningful semantics beyond what's in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage Exchange Online settings including mailbox configuration, transport rules, and organization policies.' It specifies the verb 'manage' and the resource 'Exchange Online settings' with examples of what can be managed. However, it doesn't explicitly differentiate from sibling tools like 'manage_exchange_policies' or 'manage_retention_policies', which appear to have overlapping domains.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. Given the many sibling tools with similar naming patterns (e.g., manage_exchange_policies, manage_retention_policies), the lack of differentiation is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the agent knows this tool can perform destructive operations and isn't idempotent. The description adds context about what types of policies are managed (data classification, encryption, rights management) which provides useful domain context. However, it doesn't disclose important behavioral details like authentication requirements, rate limits, or what specific destructive actions might be performed (e.g., policy deletion).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point without unnecessary words. It's appropriately sized for a multi-purpose tool with 6 parameters. However, it could be slightly more structured by explicitly mentioning the CRUD operations supported (list, get, create, update, delete) that are defined in the schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters including nested objects, multiple action types, and destructive operations), the description is somewhat minimal. While annotations cover the safety profile, and the schema documents parameters well, the description doesn't address important contextual aspects like typical use cases, prerequisites, or what the tool returns (no output schema exists). For a tool with destructiveHint=true, more guidance about safe usage would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema already documents all 6 parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it doesn't explain parameter relationships, provide examples, or clarify how the 'action' parameter determines which other parameters are relevant. The baseline score of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage Azure Information Protection policies for data classification, encryption, and rights management.' It specifies the resource (Azure Information Protection policies) and the broad functional areas (data classification, encryption, rights management). However, it doesn't distinguish this tool from sibling tools like 'manage_sensitivity_labels' or 'manage_retention_policies' which might overlap in the information protection domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. With many sibling tools in the Microsoft 365/security management space (like manage_sensitivity_labels, manage_retention_policies, manage_defender_policies), there's no indication of how this tool fits into the broader ecosystem or when it should be preferred over other policy management tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering key behavioral traits. The description adds some context by mentioning 'deployment' and 'updates', which implies mutation operations consistent with annotations. However, it doesn't disclose additional details like rate limits, authentication needs, or specific destructive effects beyond what annotations provide.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('Manage macOS application deployment') and lists key aspects. There's no wasted verbiage, but it could be slightly more structured by explicitly separating functions or adding brief context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, destructive operations, no output schema), the description is adequate but not complete. It covers the general scope but lacks details on output format, error handling, or specific use cases. With annotations providing safety information, it meets minimum viability but leaves gaps for an agent to fully understand tool behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description mentions 'app assignments, updates, and installation requirements', which loosely maps to parameters like 'assignmentGroups', 'action' (update), and possibly 'bundleId'/'version', but adds minimal semantic value beyond the schema. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as managing macOS application deployment with specific aspects like assignments, updates, and installation requirements. It uses specific verbs ('manage', 'deployment') and identifies the resource ('macOS application'). However, it doesn't explicitly differentiate from sibling tools like 'manage_intune_windows_apps' or 'manage_intune_macos_devices', which would be needed for a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It mentions general functions but doesn't specify contexts, prerequisites, or exclusions. With many sibling tools available (e.g., 'manage_intune_windows_apps', 'manage_intune_macos_devices'), the lack of differentiation leaves the agent without clear usage criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate this is a destructive, non-idempotent, non-read-only tool. The description adds some behavioral context by listing action types like 'wipe' and 'retire' that align with the destructive hint, but doesn't provide additional details about rate limits, authentication requirements, or specific destructive consequences. It doesn't contradict annotations, but adds only moderate value beyond them.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It lists key action types without unnecessary elaboration. While it could be slightly more structured (e.g., separating read vs. write actions), it avoids redundancy and stays focused on the tool's scope.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 6 parameters, destructive annotations, and no output schema, the description is minimally adequate. It covers the broad scope but lacks details on error conditions, response formats, or operational constraints. Given the richness of the schema and annotations, the description provides basic context but leaves gaps in guiding effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema fully documents all 6 parameters. The description mentions 'enrollment' and 'autopilot deployment' which map to the 'action' and 'enrollmentType' parameters, but adds no meaningful semantic context beyond what the schema already provides. The baseline score of 3 reflects adequate but unenhanced parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage Windows devices in Intune' with specific actions listed (enrollment, autopilot deployment, device actions, health monitoring). It uses a strong verb ('manage') and identifies the resource ('Windows devices in Intune'), but doesn't explicitly differentiate from sibling tools like 'manage_intune_macos_devices' or 'manage_azure_ad_devices' beyond the 'Windows' qualifier.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. While it lists action types, it offers no help in choosing between this tool and sibling tools like 'manage_intune_macos_devices' or 'manage_azure_ad_devices' for similar management tasks on different platforms.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate this is a non-readOnly, non-idempotent, destructive tool. The description adds some context by mentioning 'shared resources like mailbox, calendar, and files' which helps understand what M365 groups entail, but doesn't provide additional behavioral details like permission requirements, rate limits, or specific destructive consequences beyond what annotations declare.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately sized for a tool with comprehensive schema documentation, though it could be slightly more specific about the management scope given the multiple action types available.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 7 parameters, destructiveHint annotation, and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details about return values, error conditions, or the scope of different actions (get/create/update/delete). The comprehensive schema helps, but the description doesn't fully compensate for the missing output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema fully documents all 7 parameters. The description mentions 'shared resources' which loosely relates to the settings parameter but doesn't add meaningful semantic context beyond what the schema already provides. The baseline score of 3 reflects adequate parameter documentation through the schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as managing Microsoft 365 groups for team collaboration with shared resources. It specifies the resource (M365 groups) and the general function (manage), though it doesn't differentiate from sibling tools like 'manage_security_groups' or 'manage_distribution_lists' which handle different group types.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or when to choose other sibling tools like 'manage_security_groups' for different group management needs. Usage is implied rather than explicitly defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, which already tell the agent this is a mutating, non-idempotent, potentially destructive operation. The description adds context about what gets managed (security alert policies for monitoring threats), but doesn't provide additional behavioral details like authentication requirements, rate limits, or specific destructive consequences beyond what annotations already convey.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that communicates the core purpose without unnecessary elaboration. It's appropriately sized for a complex tool, though it could potentially benefit from being more front-loaded with key differentiators given the many sibling tools.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 9 parameters, nested objects, destructive operations, and no output schema, the description is minimal. While annotations cover safety aspects and the schema documents parameters thoroughly, the description doesn't help the agent understand the tool's scope, return values, or operational context beyond the basic purpose statement.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema already provides comprehensive parameter documentation including enums and nested object structures. The description mentions 'monitoring threats, suspicious activities, and compliance violations' which loosely relates to the 'category' parameter options, but adds minimal semantic value beyond what's already in the well-documented schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('manage') and resource ('security alert policies') with context about monitoring threats, suspicious activities, and compliance violations across Microsoft 365. It distinguishes from some siblings like 'manage_alerts' by specifying policies rather than alerts themselves, but doesn't explicitly differentiate from all security-related tools like 'manage_defender_policies' or 'manage_compliance_monitoring'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. With many sibling tools for managing security, compliance, and policies, there's no indication of when this specific tool for security alert policies is appropriate versus tools like 'manage_defender_policies', 'manage_compliance_monitoring', or 'manage_alerts'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate this is a destructive, non-idempotent, non-read-only tool. The description adds minimal behavioral context beyond this, mentioning 'access control' which hints at security implications but doesn't elaborate on permissions needed, rate limits, or specific destructive consequences of actions like 'delete'. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be slightly more structured by explicitly listing the action types or providing brief examples.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, destructive annotations, no output schema), the description is minimally adequate. It covers the high-level purpose but lacks details on error handling, response formats, or operational constraints, leaving gaps that could hinder an agent's ability to use it effectively without trial and error.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema fully documents all 6 parameters, including the 'action' enum with 6 values. The description adds no parameter-specific semantics beyond implying the tool handles 'group creation, membership, and security settings', which loosely maps to some action values but doesn't clarify parameter interactions or usage details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages Azure AD security groups for access control, specifying three key operations: creation, membership management, and security settings. It uses specific verbs and identifies the resource, but doesn't explicitly differentiate from sibling tools like 'manage_m365_groups' or 'manage_distribution_lists' which might handle similar group types.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions, nor does it reference sibling tools that might handle related functionality like 'manage_m365_groups' for different group types or 'manage_azure_ad_roles' for role-based access control.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds some behavioral context by mentioning encryption, content marking, and classification policies, which helps clarify the tool's scope beyond what annotations provide. However, it doesn't address important behavioral aspects like the implications of the destructiveHint=true annotation (what gets destroyed), authentication requirements, rate limits, or error handling. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It avoids unnecessary words and gets straight to the point. However, it could be slightly more structured by separating the different action types or providing a brief example of typical use cases.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters with nested objects, multiple actions via enum, destructive operations), the description is somewhat incomplete. While annotations provide safety hints and the schema documents parameters well, the description doesn't explain the multi-action nature (list/get/create/update/delete/publish), output format expectations, or error scenarios. The absence of an output schema increases the need for more descriptive context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema comprehensively documents all 8 parameters including their types, descriptions, and constraints. The description adds minimal value by hinting at the settings structure (encryption, content marking) but doesn't provide additional semantic context beyond what's already in the schema. The baseline score of 3 is appropriate given the excellent schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as managing sensitivity labels for information protection, specifying key functionalities like encryption, content marking, and classification policies. It uses specific verbs ('manage') and resources ('sensitivity labels'), but doesn't explicitly differentiate from sibling tools like 'manage_information_protection_policies' or 'manage_dlp_policies' that might handle related aspects.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for choosing specific actions, or how it relates to sibling tools like 'manage_information_protection_policies' or 'manage_dlp_policies' that might overlap in information protection domains.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, which already inform the agent about mutation, non-idempotency, and potential data loss. The description adds minimal behavioral context by mentioning 'permissions, credentials, and enterprise applications,' but doesn't elaborate on side effects, authentication needs, or rate limits. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary elaboration. It avoids redundancy and wastes no words, though it could be slightly more structured by breaking down the 'including' list for clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 parameters, destructive operations, no output schema) and rich annotations, the description is adequate but incomplete. It covers the what but lacks details on behavioral nuances, error handling, or output expectations. With annotations handling safety, it meets minimum viability but leaves gaps for effective agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear descriptions for all parameters, including an enum for 'action' that lists specific operations. The description doesn't add any parameter-specific details beyond what the schema provides, such as explaining the 'filter' format or 'spId' sourcing. With high schema coverage, the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: managing service principals for application access, with specific mention of permissions, credentials, and enterprise applications. It uses a specific verb ('manage') and resource ('service principals'), distinguishing it from sibling tools like manage_azure_ad_apps or manage_security_groups. However, it doesn't explicitly differentiate from all siblings, keeping it at a 4 rather than a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context for choosing specific actions, or comparisons to sibling tools like manage_azure_ad_apps. Without any usage context, the agent must infer based on the name and parameters alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering safety and idempotency. The description adds minimal behavioral context beyond this, such as the broad scope of management (schema, items, views, permissions), but doesn't detail side effects, auth needs, or rate limits. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It avoids redundancy and waste, though it could be slightly more structured (e.g., separating scope items with commas). Overall, it's appropriately concise for the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, destructive operations, no output schema) and rich annotations, the description is adequate but incomplete. It covers the general purpose but lacks details on return values, error handling, or operational constraints, leaving gaps for an agent to infer behavior from the schema and annotations alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are well-documented in the schema. The description implies parameters relate to managing lists/libraries but doesn't add specific meaning beyond what the schema provides, such as explaining how 'action' interacts with other parameters. Baseline 3 is appropriate given high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage SharePoint lists and libraries including schema definition, items, views, and permissions.' It specifies the resource (SharePoint lists/libraries) and scope (schema, items, views, permissions), though it doesn't explicitly distinguish from sibling tools like 'manage_sharepoint_sites' or 'manage_sharepoint_governance_policies' beyond the general 'lists and libraries' focus.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context, or exclusions, nor does it reference sibling tools for comparison. Users must infer usage from the action parameter and schema alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering safety and idempotency. The description adds context about the scope of management (creation, configuration, permissions, administration), which helps clarify what 'manage' entails beyond the annotations, but doesn't detail rate limits, authentication needs, or specific behavioral traits like error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads key information ('Manage SharePoint sites') and lists core functionalities. It avoids redundancy and waste, though it could be slightly more structured by separating actions for clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 9 parameters, destructive annotations, and no output schema, the description is adequate but minimal. It covers the high-level purpose and scope, but lacks details on return values, error cases, or operational constraints that would help an agent use it effectively in complex scenarios.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all 9 parameters. The description mentions general aspects like 'creation, configuration, permissions' which loosely map to parameters like action, settings, and owners/members, but adds no specific syntax, format, or usage details beyond what the schema provides, meeting the baseline for high coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage SharePoint sites including creation, configuration, permissions, and site collection administration.' It specifies the resource (SharePoint sites) and key actions (creation, configuration, permissions, administration), though it doesn't explicitly differentiate from sibling tools like 'manage_sharepoint_lists' or 'manage_sharepoint_governance_policies'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions, leaving the agent to infer usage from the action parameter alone without sibling tool differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering the core safety profile. The description adds minimal behavioral context beyond this - it mentions the scope ('across the organization') but doesn't discuss permissions needed, rate limits, side effects, or what happens during policy assignment. The description doesn't contradict annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately front-loaded with the main action and resource. However, it could be slightly more structured by separating scope from functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 7 parameters, nested objects, destructive operations, and no output schema, the description is minimally adequate. It identifies the resource domain but lacks crucial context about how different actions work, what the tool returns, or error conditions. The annotations help but don't fully compensate for the description's brevity given the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema comprehensively documents all 7 parameters and their nested structures. The description adds no parameter-specific information beyond the high-level policy domains mentioned. It doesn't explain parameter relationships, dependencies, or provide usage examples, so it meets but doesn't exceed the baseline expectation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Manage') and resource ('Microsoft Teams policies') with specific policy domains listed (messaging, meetings, calling, apps, live events). It distinguishes from many sibling tools that handle different Microsoft 365 services, though it doesn't explicitly differentiate from other policy management tools like manage_exchange_policies or manage_conditional_access_policies.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or when to choose this over other policy management tools. The agent must infer usage solely from the tool name and description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=false, idempotentHint=true, and destructiveHint=false, covering key behavioral traits. The description adds context about what gets managed (profile, mailbox, licenses, auth methods) but doesn't disclose rate limits, authentication requirements, or mutation specifics beyond what annotations already indicate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence efficiently conveys scope. Front-loaded with the main purpose. Could be slightly more structured but wastes no words. Every element earns its place by specifying what gets managed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with 3 parameters, 100% schema coverage, and annotations covering safety/idempotency, the description is adequate but minimal. No output schema exists, so some guidance on return values would help. The description covers what but not how or when, leaving gaps in practical usage context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear parameter documentation. The description mentions 'profile information, mailbox settings, licenses, and authentication methods' which provides context for the 'settings' parameter, but doesn't add significant meaning beyond what the schema already specifies for the action and userId parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages user account settings with specific examples (profile information, mailbox settings, licenses, authentication methods). It uses a specific verb ('manage') and resource ('user account settings'), but doesn't distinguish from siblings like 'manage_azure_ad_apps' or 'manage_security_groups' which manage different resources.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The description doesn't mention prerequisites, appropriate contexts, or when to choose other user management tools. With many sibling tools managing different Microsoft 365 resources, this lack of differentiation is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable read operation. The description adds context about the search scope ('Microsoft 365 content') but doesn't disclose behavioral traits like rate limits, authentication needs, result formats, or pagination details. With annotations covering safety, a 3 is appropriate—the description adds some value but not rich behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It wastes no words and directly communicates the tool's function without redundancy or fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects) and rich annotations, the description is adequate but incomplete. It lacks output details (no output schema), usage guidance, and behavioral nuances. However, annotations cover safety, and schema coverage is high, so it meets a minimum viable standard.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 88%, meaning most parameters are documented in the schema. The description mentions 'advanced search queries' and lists content types, which hints at the 'entityTypes' and 'queryString' parameters but doesn't add meaningful semantics beyond what the schema provides. With high schema coverage, the baseline is 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Execute advanced search queries across Microsoft 365 content including emails, files, messages, and calendar events.' It specifies the verb ('execute'), resource ('search queries'), and scope ('Microsoft 365 content'). However, it doesn't explicitly differentiate from sibling tools like 'search_audit_log' or 'execute_delta_query', which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'search_audit_log' or 'execute_delta_query', nor does it specify prerequisites, constraints, or typical use cases. The agent must infer usage from the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a non-read-only, non-idempotent, non-destructive tool (readOnlyHint=false, idempotentHint=false, destructiveHint=false), which the description doesn't contradict. The description adds context about the tool's capabilities (responsive design, charts, filtering) that goes beyond annotations, but it lacks details on behavioral aspects like authentication requirements, rate limits, or what happens during creation (e.g., file overwriting). With annotations covering basic safety, the description provides some added value but not rich behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose: 'Create interactive HTML reports and dashboards with responsive design, charts, and filtering capabilities.' Every word earns its place by specifying key features without redundancy or unnecessary elaboration. It's appropriately sized for a tool with a clear function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (10 parameters, nested objects, no output schema) and rich schema coverage, the description is adequate but has gaps. It outlines what the tool does but doesn't address prerequisites, error handling, or output details (e.g., what is returned after creation). With annotations covering basic behavioral hints, the description meets minimum viability but could be more complete for a multi-action tool with significant configuration options.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, meaning all parameters are well-documented in the schema itself. The description mentions 'responsive design, charts, and filtering capabilities,' which loosely maps to parameters like 'template', 'sections', and 'includeCharts', but it doesn't add meaningful semantics beyond what the schema already provides (e.g., it doesn't explain parameter interactions or usage patterns). Given the high schema coverage, the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Create interactive HTML reports and dashboards with responsive design, charts, and filtering capabilities.' It specifies the verb ('Create') and resource ('HTML reports and dashboards') along with key features. However, it doesn't explicitly differentiate from sibling tools like 'generate_professional_report' or 'generate_word_document', which might serve similar reporting purposes but in different formats.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools or contexts where HTML reports are preferred over other formats (e.g., Word documents or PowerPoint presentations). Usage is implied only through the description's focus on HTML features, but there are no explicit when/when-not statements or named alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a non-readOnly, non-idempotent, non-destructive tool. The description adds some behavioral context by mentioning 'professional PowerPoint presentations' and 'Microsoft 365 data', which suggests integration with Microsoft services. However, it doesn't elaborate on authentication needs, rate limits, or what 'create' entails beyond the basic action. The description doesn't contradict annotations but adds minimal value beyond them.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. It wastes no words and directly communicates the tool's function without unnecessary elaboration. Every part of the sentence contributes to understanding what the tool does.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (10 parameters, nested objects, no output schema) and annotations covering basic safety, the description is minimally adequate. It states what the tool does but lacks details on return values, error handling, or integration specifics. For a multi-action tool (create/get/list/export) with rich parameters, more context would be helpful, but the schema compensates somewhat.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are well-documented in the schema. The description mentions 'custom slides, charts, tables, and themes', which loosely maps to the 'slides' and 'template' parameters, but adds no specific syntax or format details beyond what the schema provides. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly enhance parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Create professional PowerPoint presentations with custom slides, charts, tables, and themes from Microsoft 365 data.' It specifies the verb ('Create') and resource ('PowerPoint presentations'), and mentions key capabilities. However, it doesn't differentiate from sibling tools like 'generate_word_document' or 'generate_html_report' beyond mentioning PowerPoint specifically.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when to choose PowerPoint over other report formats, or how it relates to sibling tools like 'generate_word_document' or 'generate_html_report'. The agent must infer usage from the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a non-readOnly, non-idempotent, non-destructive operation (write operation with potential side effects). The description adds context by specifying output formats and data source, but doesn't disclose behavioral traits like whether reports are saved automatically, if generation is asynchronous, rate limits, or authentication requirements. With annotations providing basic safety profile, the description adds some value but lacks rich behavioral details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence that efficiently conveys core functionality: action (generate), resource (reports), formats, and data source. No wasted words, perfectly front-loaded with the essential information. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 12 parameters, nested objects, no output schema, and annotations covering only basic hints, the description is minimally adequate. It covers what the tool does at a high level but doesn't address important context like report structure, generation process, error handling, or how outputs are delivered. Given the complexity, more completeness would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are well-documented in the schema itself. The description mentions 'multiple formats' and 'Microsoft 365 data', which aligns with 'outputFormats' and the data-oriented parameters, but doesn't add meaningful semantics beyond what the schema already provides. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Generate' and the resource 'comprehensive professional reports', specifying output formats (PowerPoint, Word, HTML, PDF) and data source (Microsoft 365 data). It distinguishes from simpler siblings like 'generate_html_report' or 'generate_word_document' by offering multiple formats and data integration, but doesn't explicitly contrast with 'generate_audit_reports' which might overlap in purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives like 'generate_audit_reports' or other report-generation siblings. The description implies usage for professional reports from Microsoft 365 data, but lacks context on prerequisites, target audiences, or scenarios where this is preferred over simpler single-format tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnlyHint=false, idempotentHint=true, and destructiveHint=false, covering basic safety and idempotency. The description adds context by mentioning 'investigation and remediation', which implies both read and write operations, aligning with annotations. However, it doesn't disclose additional behavioral traits like rate limits, authentication needs, or specific remediation actions, leaving gaps in understanding the tool's full behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core function and includes key details (scope and activities) concisely. Every part of the sentence earns its place, making it easy to parse and understand quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (managing alerts with potential write operations) and the absence of an output schema, the description is moderately complete. It covers the tool's scope and activities but lacks details on return values, error handling, or specific remediation steps. Annotations provide some safety context, but more behavioral information would enhance completeness for effective agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear descriptions for all parameters (action, alertId, filter, top). The description doesn't add any parameter-specific semantics beyond what the schema provides, such as examples of remediation actions or filter usage details. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, but no extra value is added.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage security alerts from Microsoft Defender and other security products including investigation and remediation.' It specifies the verb ('manage') and resource ('security alerts'), and mentions the scope (Microsoft Defender and other security products) and activities (investigation and remediation). However, it doesn't explicitly differentiate from sibling tools like 'manage_security_alert_policies' or 'manage_dlp_incidents', which reduces clarity about its unique role.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, constraints, or comparison to sibling tools such as 'manage_security_alert_policies' or 'manage_dlp_incidents'. The agent must infer usage from the tool name and schema alone, which is insufficient for informed decision-making.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering key behavioral traits. The description adds value by specifying the scope ('app permissions, credentials, and OAuth configurations'), which hints at sensitive operations, but does not elaborate on risks, permissions needed, or rate limits. It does not contradict annotations, so a baseline score is appropriate given the annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly states what the tool does and includes key components, making it easy to parse and understand quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters, destructive operations, no output schema) and rich annotations, the description is adequate but minimal. It covers the high-level scope but lacks details on output format, error handling, or specific use cases, which could help the agent navigate the multiple actions and parameters more effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear descriptions for all parameters, including an enum for 'action' and nested object details. The description mentions general aspects like 'app permissions' and 'OAuth configurations', which loosely relate to parameters but do not add significant semantic detail beyond the schema. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Manage') and resource ('Azure AD application registrations') with specific aspects ('app permissions, credentials, and OAuth configurations'), making the purpose unambiguous. However, it does not explicitly differentiate from sibling tools like 'manage_service_principals' or 'manage_azure_ad_roles', which might handle related Azure AD entities, so it falls short of a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, such as sibling tools for managing other Azure AD components (e.g., 'manage_azure_ad_devices' or 'manage_service_principals'). It lacks explicit context, prerequisites, or exclusions, leaving the agent to infer usage based on the tool name and description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate this is a non-destructive, idempotent, non-read-only tool, which the description doesn't contradict. The description adds context about 'assessment and remediation tracking' activities, which helps clarify the tool's behavioral scope beyond the annotations. However, it doesn't provide details about rate limits, authentication needs, or specific outcomes of actions like 'remediate'.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that clearly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded with the core functionality, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 6 parameters, rich schema documentation, and no output schema, the description provides basic purpose but lacks important context. It doesn't explain what the tool returns, how different actions affect the system, or how it relates to sibling compliance tools. The annotations help with safety profile, but more behavioral context would be valuable given the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description doesn't add any parameter-specific information beyond what's in the schema (e.g., it doesn't explain relationships between parameters or provide usage examples). This meets the baseline expectation when schema coverage is complete.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as managing CIS benchmark compliance with specific activities (assessment and remediation tracking). It uses the verb 'manage' with the resource 'CIS benchmark compliance', which is specific. However, it doesn't distinguish this tool from sibling tools like 'manage_compliance_assessments' or 'manage_compliance_frameworks', which appear to be in the same domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or specific contexts for use. With multiple sibling tools in the compliance domain (e.g., manage_compliance_assessments, manage_compliance_frameworks), this lack of differentiation is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable operation. The description adds minimal behavioral context beyond this—it mentions 'conduct' and 'generate reports' but doesn't specify permissions needed, rate limits, or what 'detailed reports' entail. With annotations covering safety, a 3 is appropriate for limited added value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that clearly states the tool's purpose without unnecessary words. It's front-loaded with the core functionality, making it easy to parse quickly, and every part of the sentence contributes to understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters with nested objects) and lack of output schema, the description is somewhat incomplete. It doesn't explain what 'detailed reports' contain or how results are returned, which could hinder agent usage. However, annotations provide safety context, and the schema covers parameters well, making it minimally adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema (e.g., action enum values, framework options). The description doesn't add any meaningful parameter semantics beyond what the schema provides, such as explaining 'scope' or 'settings' objects. Baseline 3 is correct when the schema handles parameter documentation fully.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('conduct' and 'generate') and resources ('compliance assessments' and 'detailed reports'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'manage_compliance_frameworks' or 'manage_compliance_monitoring', which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, timing, or comparison to sibling tools like 'manage_compliance_frameworks' or 'manage_compliance_monitoring', leaving the agent with no contextual usage information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the agent knows this is a mutable but safe operation. The description adds minimal behavioral context beyond annotations - it implies configuration and assessment capabilities through the listed framework names, but doesn't describe side effects, permission requirements, or operational constraints. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that states the core purpose with relevant examples. It's appropriately sized and front-loaded with the essential information. There's no wasted verbiage or unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 4 parameters, no output schema, and annotations covering basic safety properties, the description provides adequate but minimal context. It establishes the domain (compliance frameworks) but doesn't address return values, error conditions, or operational nuances. Given the complexity implied by the action enum and nested settings object, more guidance would be beneficial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema already documents all 4 parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema - it doesn't explain how 'action' values map to different operations, what 'scope' should contain, or how 'settings' should be structured. The baseline of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage compliance frameworks and standards' with specific examples (HIPAA, GDPR, SOX, PCI-DSS, ISO 27001, NIST). It provides a specific verb ('manage') and resource ('compliance frameworks and standards'), but doesn't explicitly differentiate from sibling tools like 'manage_cis_compliance' or 'manage_compliance_assessments' beyond listing different framework names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, context for selection, or comparison with sibling tools like 'manage_compliance_assessments' or 'manage_cis_compliance'. The user must infer usage from the tool name and parameter schema alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds minimal behavioral context beyond annotations. Annotations already indicate destructiveHint=true (implying potential data loss), readOnlyHint=false (mutation allowed), openWorldHint=true (supports flexible operations), and idempotentHint=false (non-idempotent actions). The description mentions 'management' operations but doesn't elaborate on risks (e.g., deletion consequences), authentication needs, rate limits, or error handling. It doesn't contradict annotations, but with rich annotations, it could provide more practical insights like typical use cases or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is highly concise and well-structured: a single sentence that front-loads the core purpose ('Manage Exchange distribution lists') followed by a comma-separated list of key operations. Every word earns its place, with no redundancy or fluff, making it easy for an AI agent to parse quickly and understand the tool's scope efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, destructive operations, no output schema) and rich annotations, the description is minimally adequate but lacks depth. It covers the 'what' (operations) but not the 'how' or 'why'—missing details on output format, error cases, or integration with sibling tools. With annotations handling safety profiles, it avoids being incomplete, but for a multi-action tool with potential data impact, more context on usage patterns or examples would enhance completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description doesn't add meaningful parameter semantics beyond the input schema. Schema description coverage is 100%, with clear descriptions for all 6 parameters (e.g., action enum values, listId for existing operations). The description generically mentions 'creation, updates, member management, and settings configuration,' which loosely maps to parameters like action, members, and settings, but doesn't clarify dependencies (e.g., listId required for updates but not creation) or usage nuances. Baseline 3 is appropriate given high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage Exchange distribution lists including creation, updates, member management, and settings configuration.' It specifies the resource (Exchange distribution lists) and enumerates key operations (creation, updates, member management, settings configuration), which is specific and actionable. However, it doesn't explicitly differentiate from sibling tools like 'manage_m365_groups' or 'manage_security_groups', which might handle similar group management tasks in different contexts.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It lists operations but doesn't specify prerequisites (e.g., requiring Exchange permissions), appropriate contexts (e.g., for email distribution vs. security groups), or exclusions (e.g., not for managing Microsoft 365 groups). Without such guidance, an AI agent might struggle to choose between this and sibling tools like 'manage_m365_groups' or 'manage_security_groups' in overlapping scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering key behavioral traits. The description adds context by specifying the supported platforms (Exchange, SharePoint, etc.), which is useful beyond annotations. However, it doesn't elaborate on destructive aspects (e.g., what gets deleted), authentication needs, or rate limits, leaving room for improvement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary details. It avoids redundancy and wastes no words, making it highly concise and well-structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (7 parameters, nested objects, destructive hint) and lack of output schema, the description is minimal. It covers the resource and scope but doesn't explain return values, error handling, or detailed behavioral implications. With annotations providing safety info, it's adequate but leaves gaps for a multi-action tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with detailed descriptions for all parameters, including enums and nested objects. The description mentions 'Data Loss Prevention policies' and the platforms, which loosely relates to 'locations' and 'rules' but doesn't add significant meaning beyond the schema. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Manage') and resource ('Data Loss Prevention policies') with scope ('across Exchange, SharePoint, OneDrive, and Teams'), making the purpose explicit. However, it doesn't distinguish this tool from sibling tools like 'manage_dlp_incidents' or 'manage_information_protection_policies', which likely handle related but different aspects of DLP.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, dependencies, or differentiate from sibling tools such as 'manage_dlp_incidents' for incident handling or 'manage_information_protection_policies' for broader policy management. Usage is implied but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable read operation. The description adds useful context about what gets collected (compliance evidence types) and the preservation aspect, but doesn't disclose behavioral details like rate limits, authentication needs, or what 'preserve' entails operationally. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. Every word earns its place: 'Collect and preserve' establishes the action, 'compliance evidence' specifies the domain, and the examples clarify scope without redundancy. No wasted words or structural issues.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 4 parameters, rich annotations, and no output schema, the description is adequate but has gaps. It covers the what (compliance evidence collection) but not the how, when, or why relative to alternatives. The annotations handle safety profile, but the description could better explain the tool's role in the broader compliance workflow given the many sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description mentions 'compliance evidence' which aligns with the evidenceType enum values, but adds no additional parameter semantics beyond what the schema provides. The baseline of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as 'Collect and preserve compliance evidence' with specific examples (audit logs, configuration snapshots, attestation records). It distinguishes itself from siblings like 'search_audit_log' or 'generate_audit_reports' by focusing on evidence collection and preservation rather than searching or reporting. However, it doesn't explicitly differentiate from 'manage_compliance_assessments' or 'manage_compliance_monitoring' which might have overlapping domains.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. Given the sibling tools include various compliance and management functions, the agent receives no help in choosing between 'manage_evidence_collection' and tools like 'manage_compliance_assessments' or 'search_audit_log' for related tasks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description doesn't add meaningful behavioral context beyond what annotations already provide. Annotations clearly indicate this is a destructive, non-idempotent, write-capable tool (destructiveHint: true, readOnlyHint: false, idempotentHint: false). The description doesn't elaborate on what 'destructive' means in this context (e.g., whether deletions are permanent), doesn't mention authentication requirements, rate limits, or error conditions. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that immediately communicates the core purpose. Every word earns its place - 'manage' establishes the action, 'Exchange Online policies' specifies the resource, and the three examples provide helpful context without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, destructive operations, no output schema), the description is minimally adequate but has significant gaps. While concise, it doesn't help an agent understand the relationship between this tool and sibling policy management tools, doesn't explain behavioral implications of the destructive annotation, and provides no guidance on parameter usage patterns. For such a complex tool, more contextual information would be beneficial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema already documents all 8 parameters thoroughly. The description mentions policy types (mail flow rules, mobile device access, organization-wide settings) which loosely map to the 'policyType' enum values, but doesn't add significant semantic context beyond what's in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('manage') and resource ('Exchange Online policies'), and provides concrete examples of policy types (mail flow rules, mobile device access, organization-wide settings). However, it doesn't explicitly differentiate this tool from sibling tools like 'manage_exchange_settings' or 'manage_retention_policies', which might handle overlapping functionality.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There are multiple sibling tools that might handle related policies (e.g., 'manage_retention_policies', 'manage_dlp_policies', 'manage_conditional_access_policies'), but the description offers no comparison or context about when this specific Exchange policy tool is appropriate versus those others.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable read operation. The description adds context about what the tool does (identify deficiencies, generate recommendations) but doesn't provide additional behavioral details like whether it's computationally intensive, has rate limits, requires specific permissions, or how results are returned. With annotations covering the safety profile, this meets baseline expectations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that clearly states the tool's purpose. There's no wasted language or unnecessary elaboration. It's appropriately sized and front-loaded with the essential information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters with nested objects, no output schema), the description is adequate but minimal. Annotations provide safety information, and the schema documents parameters well, but the description doesn't address output format, result interpretation, or error conditions. For a tool that performs analysis and generates recommendations, more context about what to expect would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all 6 parameters thoroughly with descriptions and enums. The description doesn't add any parameter-specific information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Perform gap analysis to identify compliance deficiencies and generate remediation recommendations.' It specifies the verb 'perform' and resource 'gap analysis' with outcomes. However, it doesn't distinguish this from sibling tools like 'manage_compliance_assessments' or 'manage_cis_compliance', which appear related to compliance management.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There are multiple compliance-related sibling tools (e.g., manage_compliance_assessments, manage_cis_compliance, manage_compliance_frameworks), but the description doesn't explain how this gap analysis tool differs from them or when it's the appropriate choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide key behavioral hints: readOnlyHint=false, destructiveHint=true, openWorldHint=true, and idempotentHint=false. The description adds value by specifying 'real-time change notifications' and 'webhook subscriptions,' which clarifies the tool's focus on event-driven updates. However, it doesn't disclose additional traits like rate limits, error handling, or the impact of destructive operations (e.g., what happens when deleting a subscription). With annotations covering the safety profile, the description offers moderate context but lacks depth on operational behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that efficiently conveys the core purpose without unnecessary words. It is front-loaded with the main action ('Manage webhook subscriptions') and includes key details ('real-time change notifications,' 'Microsoft Graph resources') that earn their place. There is no redundancy or fluff, making it highly concise and effective for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 parameters, nested objects, no output schema) and rich annotations, the description is adequate but incomplete. It covers the basic purpose but lacks details on return values, error conditions, or integration with sibling tools. The annotations provide behavioral context, but the description doesn't fully address the tool's role in the broader ecosystem or operational considerations, leaving gaps for an agent to infer usage in real-world scenarios.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with detailed descriptions for all parameters, including enums and required fields. The description adds no parameter-specific information beyond the schema, such as examples or usage notes. According to the rules, when schema coverage is high (>80%), the baseline score is 3 even without param details in the description. The description's general statement doesn't compensate or detract from the schema's thorough documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage webhook subscriptions for real-time change notifications from Microsoft Graph resources.' It specifies the verb ('manage'), resource ('webhook subscriptions'), and domain ('Microsoft Graph resources'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'manage_alerts' or 'search_audit_log' that might also involve notifications or monitoring, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, such as authentication requirements or permissions needed for Microsoft Graph, nor does it specify scenarios where this tool is preferred over other notification or management tools in the sibling list. Without any usage context or exclusions, the agent must infer when to invoke it based solely on the purpose statement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and idempotency. The description adds context about generating reports and assessing compliance status, which is useful but doesn't disclose additional behavioral traits like rate limits, authentication needs, or what specific data is returned. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It front-loads key actions ('assess', 'generate reports') and resources, making it easy to parse. Every word contributes to understanding the tool's purpose without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 4 parameters, 100% schema coverage, and annotations covering safety, the description is minimally adequate. It lacks output schema, so return values aren't explained, and it doesn't address usage context or sibling differentiation. Given the complexity, it should provide more guidance on when to use this versus related tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters. The description implies actions like 'assess' and 'generate reports', which map to the 'action' parameter's enum values, but adds no syntax, format, or interaction details beyond what the schema provides. Baseline 3 is appropriate given high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('assess', 'generate reports') and resources ('macOS device compliance status', 'policy adherence and security posture'). It distinguishes itself from general compliance tools by specifying macOS focus, though it doesn't explicitly differentiate from sibling tools like 'manage_intune_macos_devices' or 'manage_intune_windows_compliance'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'manage_intune_macos_devices' or 'manage_intune_windows_compliance', nor does it specify prerequisites, exclusions, or appropriate contexts for use. The agent must infer usage from the description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructiveHint=true, readOnlyHint=false, and idempotentHint=false, which already inform the agent about mutation capabilities and potential data loss. The description adds some context by mentioning 'device actions' like wipe and retire, aligning with the destructive nature. However, it doesn't disclose additional behavioral traits such as rate limits, authentication requirements, or side effects beyond what annotations provide.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('Manage macOS devices in Intune') and enumerates key capabilities without redundancy. Every word earns its place, and there's no wasted verbiage or structural issues.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters, destructive operations, no output schema) and rich annotations, the description is minimally adequate. It outlines the scope but lacks details on output format, error handling, or integration with sibling tools. The absence of an output schema means the description should ideally hint at return values, but it doesn't, leaving gaps for the agent to navigate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself (e.g., action enum values, deviceId usage). The description mentions 'enrollment' and 'device actions,' which loosely map to the action parameter but adds no specific semantics beyond what the schema already defines. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly enhance parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages macOS devices in Intune and lists key functions (enrollment, compliance policies, device actions, inventory management). It distinguishes from sibling tools like manage_intune_macos_apps or manage_intune_macos_compliance by focusing on device management rather than apps or compliance specifically. However, it doesn't explicitly contrast with manage_intune_windows_devices, which handles similar operations for Windows.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., device enrollment status), when to choose specific actions, or how it differs from related tools like manage_intune_windows_devices or manage_azure_ad_devices. The agent must infer usage from the action list alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnlyHint=false, idempotentHint=false, and destructiveHint=true, covering key behavioral traits. The description adds minimal context beyond this, mentioning 'device security and management settings' but not detailing what 'manage' entails (e.g., potential impacts on devices, rate limits, or authentication needs). It doesn't contradict annotations, but offers little extra behavioral insight.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that clearly states the tool's focus. It's front-loaded with the core purpose and avoids unnecessary elaboration, making it easy to parse quickly without wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (8 parameters, nested objects, no output schema) and annotations that cover safety aspects, the description is adequate but minimal. It lacks details on output format, error handling, or specific use cases, which could help an agent invoke it correctly. However, with good schema coverage and annotations, it meets a basic threshold without being fully comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so parameters are well-documented in the schema. The description doesn't add any specific parameter semantics beyond the general scope of 'macOS configuration profiles and compliance policies.' It doesn't explain how parameters like 'action' or 'policyType' relate to the tool's purpose, but the schema provides sufficient detail, meeting the baseline for high coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage macOS configuration profiles and compliance policies for device security and management settings.' It specifies the resource (macOS policies) and the action (manage), though 'manage' is somewhat broad. It distinguishes from some siblings like manage_intune_macos_apps or manage_intune_macos_devices by focusing on policies, but doesn't explicitly differentiate from manage_intune_macos_compliance, which might overlap.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, specific contexts, or exclusions. For example, it doesn't clarify when to choose this over manage_intune_macos_compliance or manage_intune_windows_policies, leaving the agent to infer based on the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and idempotency. The description adds some context by implying assessment (non-destructive) and listing specific compliance aspects like BitLocker and antivirus, but doesn't disclose rate limits, authentication needs, or detailed behavioral traits beyond what annotations provide. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly states what the tool does, making it easy to parse and understand quickly. Every part of the sentence contributes to clarifying the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (5 parameters, nested objects) and rich annotations (readOnly, idempotent, non-destructive), the description is minimally adequate. It covers the assessment purpose but lacks details on output format, error handling, or specific use cases. Without an output schema, more guidance on return values would be helpful, but the annotations provide a safety net.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description mentions 'BitLocker encryption, antivirus status, and security configurations,' which loosely maps to complianceType and complianceData fields, but doesn't add significant meaning beyond the schema's detailed descriptions and enums. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Assess Windows device compliance status including BitLocker encryption, antivirus status, and security configurations.' It specifies the verb 'assess' and the resource 'Windows device compliance status' with concrete examples. However, it doesn't explicitly differentiate from sibling tools like 'manage_intune_macos_compliance' or 'manage_compliance_assessments', which would be needed for a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, specific contexts, or exclusions. For example, it doesn't clarify if this is for real-time monitoring vs. historical assessment, or how it differs from other compliance tools in the sibling list, leaving the agent with no usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, covering the core safety profile. The description adds minimal behavioral context beyond this - it mentions 'lifecycle rules' which hints at the policy's purpose but doesn't elaborate on side effects, permissions needed, or rate limits. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that states the core purpose without unnecessary elaboration. Every word earns its place - 'manage' (verb), 'retention policies' (resource), and the scope across four Microsoft services with 'lifecycle rules' providing just enough context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 7 parameters, nested objects, and destructive operations, the description is minimal. While annotations cover safety aspects and the schema documents parameters, the description doesn't address the multi-action nature (list/get/create/update/delete) or provide context about when different actions are appropriate. No output schema exists, so return values remain undocumented.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema already documents all 7 parameters thoroughly. The description mentions 'lifecycle rules' which aligns with retentionSettings but adds no specific syntax, format, or usage details beyond what the schema provides. The baseline of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'manage' and resource 'retention policies', specifying scope across Exchange, SharePoint, OneDrive, and Teams with lifecycle rules. It distinguishes from siblings by focusing on retention policies specifically, though it doesn't explicitly differentiate from similar policy management tools like manage_exchange_policies or manage_sharepoint_governance_policies.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. With many sibling tools for managing different aspects of Microsoft 365, the lack of usage guidance is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnlyHint=false (mutation), idempotentHint=true (safe to retry), and destructiveHint=false (non-destructive). The description adds value by specifying 'secure token handling,' which implies security considerations beyond the annotations. However, it doesn't detail behavioral traits like rate limits, error handling, or token storage, leaving gaps in understanding how the tool behaves in practice.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that efficiently conveys the tool's purpose and security context. It uses precise language ('Manage OAuth 2.0 authorization,' 'user-delegated access,' 'secure token handling') without redundancy, making it front-loaded and easy to parse. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 5 parameters, no output schema, and annotations covering basic safety (idempotent, non-destructive), the description is adequate but incomplete. It explains the high-level purpose but lacks details on usage scenarios, error handling, or return values (e.g., what tokens are returned). Given the complexity of OAuth operations, more context would help the agent use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear descriptions for all 5 parameters (e.g., 'action' with enum values, 'scopes' with examples). The description doesn't add any parameter-specific semantics beyond what the schema provides, such as explaining scope dependencies or state usage. Given the high schema coverage, the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Manage OAuth 2.0 authorization for user-delegated access to OneDrive and SharePoint files with secure token handling.' It specifies the action (manage authorization), the resource (OneDrive and SharePoint files), and the security context (secure token handling). However, it doesn't explicitly differentiate from sibling tools like 'call_microsoft_api' or 'manage_azure_ad_apps' which might also involve authentication, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing OAuth setup), when to choose specific actions like 'get-auth-url' vs 'refresh-token', or how it relates to sibling tools such as 'call_microsoft_api' that might require tokens. This leaves the agent with minimal context for appropriate tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate the tool is not read-only, idempotent, or destructive, but the description adds useful context: it specifies batch execution for performance/efficiency and mentions Microsoft Graph API scope. However, it lacks details on error handling, rate limits, authentication needs, or response format. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that efficiently conveys the core functionality and benefit without redundancy. It is front-loaded with the main action and appropriately sized for the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (batch API execution), lack of output schema, and annotations covering basic safety, the description is adequate but incomplete. It explains the what and why but omits details on response format, error behavior, or practical usage examples that would help an agent invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage for the single parameter 'requests', the description does not add any parameter-specific information beyond what the schema provides (e.g., structure of requests array, method enums). The baseline is 3 since the schema fully documents the parameter, but the description fails to compensate for the coverage gap by explaining request format or constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes multiple Microsoft Graph API requests in a batch operation, specifying the verb ('execute'), resource ('Microsoft Graph API requests'), and benefit ('improved performance and efficiency'). It distinguishes from siblings like 'call_microsoft_api' by emphasizing batch capability, though it doesn't explicitly contrast with single-request alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context ('for improved performance and efficiency') suggesting batch operations when multiple requests are needed, but provides no explicit guidance on when to use this versus alternatives like 'call_microsoft_api' for single requests or other siblings. No exclusions or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description doesn't contradict the annotations (destructiveHint=true, readOnlyHint=false, idempotentHint=false). While the annotations already indicate this is a destructive, non-idempotent write operation, the description adds context by specifying the policy types managed. However, it doesn't elaborate on what 'destructive' means in this context (e.g., policy deletion consequences) or mention authentication requirements or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. Every word earns its place by specifying the resource (Microsoft Defender for Office 365 policies) and enumerating the policy types managed. There's zero waste or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex tool with 8 parameters, nested objects, destructive operations, and no output schema, the description is adequate but has clear gaps. It covers what policy types are managed but doesn't explain the multi-action nature (list/get/create/update/delete), expected outputs, or important behavioral considerations beyond what annotations provide. The combination of good annotations and thorough schema helps compensate somewhat.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema already documents all 8 parameters thoroughly. The description mentions policy types that map to the policyType enum but doesn't add meaningful semantic context beyond what's in the schema. The baseline of 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages Microsoft Defender for Office 365 policies and lists specific policy types (Safe Attachments, Safe Links, anti-phishing, anti-malware). It provides a specific verb ('manage') and resource ('policies'), but doesn't explicitly distinguish this tool from its many sibling tools on the server, which mostly manage different Microsoft 365 resources.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or when other tools might be more suitable. With many sibling tools managing different Microsoft 365 components, this lack of differentiation is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false. The description adds valuable context by specifying the scope of destructive actions ('account disablement', 'license removal', 'access revocation') and the inclusion of data backup. It doesn't mention rate limits, authentication requirements, or error handling, but provides meaningful behavioral details beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose ('Automate user offboarding processes') followed by specific components. Every phrase adds value with zero wasted words or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive tool with no output schema, the description adequately covers the high-level process but lacks details on return values, error conditions, or system state changes. The annotations provide safety context, but more behavioral transparency would help given the tool's complexity and potential impact.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters. The description implies the 'action' parameter controls process stages and 'options' customize offboarding steps, but adds no syntax, format, or constraint details beyond what the schema provides. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('automate', 'disablement', 'removal', 'backup', 'revocation') and resources ('user offboarding processes', 'account', 'license', 'data', 'access'). It distinguishes from sibling tools by focusing on user lifecycle management rather than compliance, reporting, or infrastructure management.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing considerations, or which sibling tools might be complementary or overlapping. The agent must infer usage from the purpose alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate the tool is not read-only, idempotent, or destructive, but the description does not add significant behavioral context beyond this, such as rate limits, authentication requirements, or error handling details. It mentions 'full control' but lacks specifics on what that entails operationally.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core functionality without unnecessary words, making it easy to understand quickly and earning its place by clearly stating the tool's scope and control level.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the high complexity (18 parameters, no output schema) and rich schema coverage, the description is minimal but adequate for a generic API call tool. However, it lacks guidance on response handling, error scenarios, or integration with sibling tools, which could improve completeness for such a versatile tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema fully documents all 18 parameters, including their purposes and constraints. The description does not add meaningful semantic details beyond what the schema provides, such as examples of common use cases or parameter interactions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('Make direct calls') and resources ('Microsoft Graph or Azure Resource Management API endpoint'), distinguishing it from sibling tools by emphasizing 'full control over HTTP methods and parameters' rather than specialized operations like batch queries or searches.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by mentioning 'full control over HTTP methods and parameters,' suggesting this tool is for custom API interactions, but it does not explicitly state when to use it versus alternatives like execute_graph_batch or execute_delta_query, nor does it provide exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, indicating a safe, repeatable operation. The description adds value by specifying the tool's purpose for 'tracking incremental changes' and 'efficient synchronization,' which gives context beyond annotations, but does not detail behavioral aspects like rate limits, authentication needs, or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that efficiently conveys the tool's purpose, method, and benefit without any redundant or unnecessary information. It is front-loaded with key information and uses precise language.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity, rich annotations, and full schema coverage, the description is largely complete for its purpose. However, the absence of an output schema means the description could benefit from mentioning return values or pagination behavior, leaving a minor gap in contextual information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear descriptions for both parameters ('resource' and 'deltaToken'). The description mentions 'delta queries' which aligns with the deltaToken parameter, adding some semantic context, but does not provide additional details beyond what the schema already covers, such as examples or constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('track incremental changes'), the resource ('Microsoft Graph resources'), and the method ('using delta queries'), with explicit mention of the benefit ('for efficient synchronization'). It distinguishes this tool from siblings by focusing on delta query functionality rather than batch operations, searches, or management tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context for 'efficient synchronization' scenarios, suggesting when to use this tool for tracking changes over time. However, it does not explicitly state when not to use it or name specific alternatives among the sibling tools, such as 'execute_graph_search' for non-incremental queries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations cover read-only, idempotent, and non-destructive behavior. The description adds valuable context about the types of events analyzed (security, user activities, compliance) and the unified nature of the audit logs, which helps the agent understand the tool's scope beyond basic safety.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that efficiently conveys purpose and scope without unnecessary words. It is front-loaded with the core functionality and includes specific domains for analysis.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the annotations cover safety and idempotency, and the schema fully documents parameters, the description provides adequate context for a search tool. However, without an output schema, it could benefit from mentioning return format or pagination behavior to reach full completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with clear parameter documentation. The description does not add any additional parameter semantics beyond what the schema provides, such as OData filter examples or top limit guidance, so it meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('search and analyze'), resource ('Azure AD unified audit logs'), and scope ('security events, user activities, and compliance monitoring'). It distinguishes itself from sibling tools like 'execute_graph_search' by specifying the audit log domain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for security, user activity, and compliance monitoring contexts, but does not explicitly state when to use this tool versus alternatives like 'execute_graph_search' or 'generate_audit_reports'. No exclusions or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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