Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavior. It omits critical details: what happens if a lock already exists (fail or block?), whether the operation is idempotent, and what the output contains (though output schema exists). This lack of behavioral context risks misuse in concurrent scenarios.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two concise sentences. The first sentence states the core purpose, and the second lists the parameters. No fluff. It is front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple lock-acquisition tool, the description covers basic usage and parameter requirements. However, it lacks context about failure modes (e.g., lock contention), integration with sibling tools (e.g., calling release_deploy_lock after deployment), and whether the lock is scoped to a specific resource. The presence of an output schema reduces the need to describe return values, but behavioral gaps remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema describes both parameters with text, but the top-level 'body' parameter has no schema description. The description adds context for lockedBy (identity examples) and ttlMinutes (default 30, max 60), which partially compensates for the schema gap. However, the default value stated in the description (30) conflicts with the schema's default null, reducing clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Acquire', the resource 'deploy lock', and the reason 'to prevent concurrent deployments'. This distinguishes it from siblings like release_deploy_lock and force_release_deploy_lock.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly lists required and optional parameters with defaults and maximums, giving clear usage instructions. However, it does not compare to alternative tools (e.g., when to use force_release_deploy_lock) or mention prerequisites like having an existing lock status.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavioral traits. It fails to mention whether the operation is idempotent, what happens if the member already exists, or any side effects. It also incorrectly suggests only monitors can be added.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, but its conciseness comes at the cost of accuracy. A concise but misleading description is worse than a slightly longer accurate one.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has nested parameters, an output schema, and sibling tools for resource group membership management, the description is severely lacking. It should list accepted member types, required nested fields, and behavior expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no value beyond the input schema and even introduces a nonexistent parameter 'monitorId'. The schema already describes memberType and memberId, but the description contradicts them. The group_id parameter is not mentioned at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Add a monitor to a resource group', but the input schema allows memberType of 'service' as well, so it omits half the functionality. Additionally, it mentions a required field 'monitorId' which does not exist in the schema; the actual required fields are group_id and body with memberId. This misrepresentation harms clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 such as remove_resource_group_member or create_resource_group. There is no mention of prerequisites, context, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses that the tool returns verification records and requires DNS configuration, but lacks details on side effects, permissions, or idempotency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with two clear sentences and a line break. It is front-loaded and to the point, though it could be slightly more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists, the description adequately mentions return value and next step, but misses details about page_id source and whether multiple domains are allowed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description should compensate. It repeats that hostname is required but does not explain page_id or provide meaning beyond the schema's own description for hostname.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Add a custom domain to a status page') and specifies the resource. It distinguishes itself from sibling tools like remove_status_page_domain and verify_status_page_domain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides context about required fields and the follow-up step (verify), but does not explicitly state when to use this tool versus alternatives or mention any exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full behavioral burden. It only notes that the action is admin-scoped and lists optional fields; it does not disclose side effects such as sending opt-in confirmation emails, duplicate subscription behavior, or immediate confirmation semantics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two compact lines with the purpose front-loaded and no filler. The optional-field list is directly useful without repeating schema details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema and rich nested input schema cover field details, so the description does not need to explain return values or every parameter. However, with no annotations and minimal behavioral disclosure, an agent still lacks important context about side effects and confirmation behavior, leaving a clear gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds the useful 'legacy EMAIL' marker and flags the fields as optional, but the input schema already provides detailed descriptions for each nested property. It does not substantially compensate for the 0% top-level schema coverage, but it remains at a baseline level because the schema carries most parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Add') and resource ('subscriber to a status page'), and adds the '(admin)' scope. This clearly distinguishes it from sibling operations like list_status_page_subscribers and remove_status_page_subscriber.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives, and no exclusions or prerequisites. The name and verb imply creation, but there is no explicit when/when-not context to help an agent choose it reliably.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully discloses behaviors: alerts resume, window record is removed, audit log preserves history, and there is no undo. No contradictions with annotations (none provided).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: first sentence states purpose, followed by usage guidance and behavioral details. Every sentence adds value, and it is front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers all relevant aspects: effect on alerts, removal vs. audit preservation, lifecycle behavior for windows not yet started, and the irreversibility. With an output schema present and simple parameter, this is complete for a cancellation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'window_id' is self-explanatory given the tool's purpose, but the description does not elaborate on its format or constraints. With 0% schema description coverage, the description should compensate but does not add meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Cancel a maintenance window') and its immediate effect ('alerts resume immediately'). It distinguishes itself from sibling tools like create_maintenance_window, update_maintenance_window, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly provides when to call it: 'Call this AFTER a deploy or maintenance operation completes successfully.' Also explains what happens if the window hasn't started and warns about the lack of an 'uncancel' operation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Create' and lists requirements; it does not disclose side effects, credential validation behavior, whether channels are persisted immediately, or what happens on invalid type-specific config. This is thin for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, front-loaded with the core action, and the type list is readable. Every line earns its place, though the misleading 'type' wording slightly undermines the efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a large, nested oneOf config schema and no annotations, so the description needed to do more orienting work. It provides a useful type list but omits two valid types, misrepresents the required top-level shape, and does not explain that the type is selected through config.channelType. The output schema exists, so return details are less critical, but the input-shape ambiguity is a significant completeness gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description names 'name, type, config (type-specific)' and lists supported types, which is helpful orientation. However, it misleadingly calls 'type' a required top-level field—there is no `type` property in the schema; the type is expressed via `config.channelType`. It also omits SMS and PHONE_CALL from the type list and says nothing about the `managedBy` parameter, so it only partially compensates for the schema's reported 0% description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: 'Create a new alert channel.' The verb 'Create' and noun 'alert channel' clearly distinguish this from sibling tools like get_alert_channel, update_alert_channel, and delete_alert_channel, even though create_webhook overlaps conceptually.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives useful context about required inputs and supported channel types, so an agent can infer this tool is for creating alert channels. However, it provides no explicit guidance about when to use this instead of a sibling like create_webhook, nor any exclusions or preconditions beyond the required-fields note.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses that the key value is returned only once, which is a critical behavioral trait. However, it omits other important aspects such as whether the key is immediately active, permissions required, or what happens on failure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two sentences with no redundant information. Every word is necessary and contributes to understanding the tool's purpose and key behavioral note.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description does not need to detail return values, but it could mention that the key value is part of the response. There is no discussion of prerequisites, error states, or related operations, leaving some gaps for a creation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already contains detailed descriptions for both parameters (name and expiresAt). The description simply restates that name is required and expiresAt is optional, adding minimal value beyond the schema. With high schema description coverage, a score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a new API key, with a specific note that the key value is returned only once. This is a direct verb-resource statement that distinguishes it from other API key management tools like revoke_api_key or delete_api_key.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool (when a new API key is needed) but does not provide explicit guidance on when not to use it or alternatives among sibling tools. The one-time return note is a helpful hint for post-creation behavior but does not serve as a usage guideline.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. The description does not mention side effects, authentication needs, rate limits, or behavior on conflict (e.g., duplicate slug).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences are concise, but the error regarding 'color' undermines clarity. Front-loading is adequate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and an output schema present but not described, the description is incomplete. It does not explain the creation process, response format, or how to use the tool in a workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description incorrectly lists 'color' as a required field, but the input schema does not include 'color'. Schema descriptions exist for all properties, so the description adds no value and introduces misinformation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create an environment' and lists required fields, distinguishing it from other 'create_*' sibling tools by naming the specific resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 like 'update_environment' or other creation tools. Context and prerequisites are missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention side effects of creating an incident, permission requirements, whether the incident is published to status pages, or any post-creation behavior. For a mutation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, front-loaded with the core purpose, and the required/optional split is an efficient way to convey the main call shape. The only structural weakness is the ambiguous use of "body" that conflates the wrapper parameter with the nested description field.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value documentation is not needed, and the nested schema properties are individually well described. However, with no annotations and a nested 6-field object, the description omits two parameters, gives no behavioral caveats, and does not mention the vendor-linking or idempotency semantics that live only in the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% at the top level, so the description must compensate; it restates title/severity/monitorId/body but omits two valid parameters entirely (serviceId, serviceIncidentId) even though their schema descriptions are meaningful. It also creates ambiguity by calling the nested detail field "body" when the top-level required parameter is also named "body", without clarifying the object-wrapping structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Create a manual incident" provides a specific verb and resource, and the word "manual" adds scope beyond a generic create. However, it does not explicitly differentiate from the nearby sibling create_status_page_incident, so an agent relies on domain knowledge to tell them apart.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The "manual" qualifier implies this is for incidents declared by hand rather than detected automatically, which gives some usage context. But no alternative tools are named, no when-not-to-use conditions are stated, and there is no guidance on when create_status_page_incident or resolve_incident would be the better choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite no annotations, the description discloses all relevant behavioral traits: it suppresses alerts (default true), reject naive timestamps, org-wide vs scoped, and repeatRule is stored but not yet honored.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with paragraphs and bullet points, but somewhat verbose. Every sentence adds value, though minor trimming could improve conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present (context says true), the description does not need to cover return values. It fully covers all other aspects: purpose, usage, parameters, and edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% per context, so the description fully compensates by explaining each parameter in detail with examples and constraints (e.g., 'endsAt must be strictly after startsAt', 'reason max 500 chars').

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Schedule a maintenance window to suppress alerts during planned work', using a specific verb and resource. It distinguishes from siblings like cancel_maintenance_window and update_maintenance_window.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to call ('BEFORE running an operation that may cause monitors to fail'), what to do after ('Always pair with cancel_maintenance_window'), and how to handle overruns (use update_maintenance_window to push end time).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full disclosure burden, and it does the most important job: it reveals that managedBy is silently forced to 'MCP' server-side and cannot be overridden, plus it names the escape hatch (SDK/CLI). This is genuinely non-obvious behavior an agent must know before calling. It stops short of mentioning other side effects (e.g., a new monitor begins checking immediately), but the override disclosure is the critical trait.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Five short lines, front-loaded with the primary purpose, then required fields, then the behavioral caveat. Every sentence earns its place and nothing is redundant with the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is extremely complex (8 monitor types, dozens of assertion variants, incident policies, auth configs), but the input schema carries that weight with 100% parameter coverage and an output schema exists. The description adds the essential managedBy context. However, its inaccurate type enum and erroneous 'required' claim for frequencySeconds leave an agent with an incomplete and partly wrong mental model of valid inputs, which is a meaningful gap for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description introduces active misinformation that the schema contradicts: frequencySeconds is listed as required although the schema marks it optional with a null default, the stated range (30-86400) conflicts with the schema's 10-86400, and the type list (HTTP/DNS/TCP/ICMP/MCP/HEARTBEAT) omits BROWSER and MULTI_STEP_API while using 'MCP' instead of the schema's 'MCP_SERVER' enum value. All three errors could cause a failed or invalid call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource pair ('Create a new uptime monitor'), which cleanly distinguishes it from the monitor siblings (update_monitor, delete_monitor, pause_monitor, list_monitors, get_monitor). The required-fields summary reinforces the scope and tells the agent exactly what creating a monitor entails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a useful prerequisite checklist (name, type, config, frequencySeconds) and one explicit when-not: use the SDK or CLI directly if a different managedBy attribution is needed. However, it offers no guidance on the more common decision points—when to create versus update an existing monitor, or being able to use test_monitor first.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only lists structural requirements and the priority semantic ('higher = evaluated first'). It does not disclose side effects, validation rules, idempotency, auth requirements, error cases, or the fact that this operation persists a new object.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise and front-loaded with the operation name. However, the 'Required:' label is inaccurate and the structure mixes required and optional parameters without clear delineation, reducing the value of its compactness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the highly nested input schema with optional fields, enums, and default behaviors, the description is not complete enough. It fails to mention the catch-all behavior of empty matchRules, omits several subfields, and misrepresents requiredness. An output schema exists, so return-value documentation is forgiven, but the input guidance is inadequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description mislabels optional fields as required: 'Required: name, matchRules, escalation, enabled, priority' — but the schema only requires name and escalation; matchRules, enabled, and priority are optional. It also omits the 'values' field in matchRules and the requireAck/repeatIntervalSeconds options in escalation steps, giving an incomplete and misleading parameter summary.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Create a notification policy.' This clearly identifies the operation without ambiguity, and the 'create' verb inherently distinguishes it from the update/delete/test siblings. However, it does not explicitly differentiate from siblings beyond the name, so it stops short of a full 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 like update_notification_policy, delete_notification_policy, or test_notification_policy. The verb 'create' implies use for new policies, but there is no explicit context, exclusions, or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It states that the tool creates a resource group but does not disclose side effects, uniqueness constraints, whether creation is idempotent, permission requirements, or how defaults are applied to the group.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, front-loaded with the action, and avoids filler. The required/optional field summary is placed after the action in a readable way, though the brevity does leave out important parameter context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool accepts a complex nested body with many optional settings, but the description only covers name and description. It does not explain how the other options affect the created group, what defaults apply, or what practical considerations exist, leaving an agent under-informed for a rich creation operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description says 'Required fields: name. Optional: description', which is a useful summary, but the schema contains many other optional fields like managedBy, alertPolicyId, defaultRegions, and defaultFrequency that are omitted. With 0% schema description coverage at the top level, the description fails to adequately compensate for the full parameter surface.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Create a resource group', which is a clear verb + resource statement that tells an agent the core intent. It does not explicitly contrast with sibling tools like update_resource_group or delete_resource_group, but the create action itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. The description mentions required and optional fields but does not state prerequisites, when a new group should be created, or when to use sibling tools such as update_resource_group or add_resource_group_member.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description carries full weight. It discloses encryption at rest and referencing pattern, but does not mention uniqueness constraints, rate limits, or behavior on duplicate keys. While helpful, more behavioral details would improve transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loads the action, and every sentence serves a purpose. No unnecessary words, highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, the description need not detail return values. It covers creation, required fields, encryption, and practical usage. However, it omits mention of uniqueness (key must be unique within workspace) and potential failure modes, which would enhance completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds value beyond the input schema by noting encryption and the referencing syntax ({{secrets.KEY}}). Though the schema has descriptions for key and value, the description clarifies their role and usage. Context signals indicate 0% schema coverage, increasing the burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create an encrypted secret' with specific verb and resource. It distinguishes itself from sibling create tools by focusing on secrets and mentioning encryption and referencing in auth configs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description identifies required fields (key, value) and provides usage context (referencing in monitor auth configs). However, it does not explicitly state when to use this tool over alternatives like update_secret or delete_secret, missing exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It only states the create action and lists fields; it does not mention uniqueness constraints, default behavior, authorization needs, side effects, or error conditions. This is a meaningful transparency gap for a creation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well organized: the core action comes first, followed by a clear required/optional split. Every sentence earns its place and no redundant prose is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema is rich and an output schema exists, so return values need not be restated in the description. Still, for a nested-object creation tool with no annotations, the description omits the IP_RESTRICTED visibility option, managedBy, uniqueness/side-effect context, and any guidance on advanced branding fields. It is adequate only for the minimal name+slug path.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is reported at 0%, so the description must compensate; it does name the required fields and several optional ones, and it gives enum hints for visibility and incidentMode. However, it omits managedBy entirely and lists only 'PUBLIC/PASSWORD' for visibility while the schema also allows IP_RESTRICTED, so its parameter guidance is useful but incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Create a new status page,' which combines a specific verb ('Create') and a specific resource ('status page'). It distinguishes the tool from sibling create_* tools such as create_status_page_component, create_status_page_group, and create_status_page_incident. Listing required and optional fields further clarifies the scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool—whenever a new status page is needed—and it provides required-field prerequisites (name, slug). However, it gives no explicit guidance about when not to use it or which alternative sibling (e.g., update_status_page) should be chosen instead. The usage context is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, this description carries the burden of explaining behavior, but it does not mention persistence, side effects, permissions, or conditional validation. It also misrepresents the valid type set by saying '(STATIC or MONITOR)' while the schema permits GROUP and DEPENDENCY, and it does not disclose conditional required fields like resourceGroupId and serviceSubscriptionId.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three terse, front-loaded sentences with no filler: purpose, required fields, optional fields. Every sentence earns its place despite the content accuracy problems.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema is complex with a nested body, four type enum values, conditional required fields, and numerous optional settings, but the description omits most of that. It fails to mention type-dependent requirements and valid types beyond STATIC/MONITOR, leaving an agent without enough context to correctly form a GROUP or DEPENDENCY component.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but it only names name, type, groupId, and monitorId, leaving page_id and several nested body fields undocumented. It adds a helpful hint that groupId nests under a group, but the restriction of type to STATIC/MONITOR is misleading against the actual enum.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence states a specific verb and resource: 'Add a component to a status page.' This clearly distinguishes creation from the many sibling update/delete/list component tools, so an agent knows the object and action immediately.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains required and optional fields but gives no guidance on when to reach for this tool over create_status_page_group or update/delete/list_status_page_component, and no exclusions or alternatives. The use context is only implied by the tool name and first sentence.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden. It only states 'Create' indicating mutation, but lacks details on idempotency, permissions, conflict behavior, or side effects. Very limited 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise at two sentences, front-loading the purpose and required field. No unnecessary words, but it could be more informative without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of the tool (2 required params, nested object with 4 fields) and no annotations or output schema details, the description is too minimal. It fails to explain what a component group is, how it relates to components, or the behavior of optional fields like description or displayOrder.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% per context (though schema actually has descriptions, but context says 0%). The description adds only 'Required fields: name' which duplicates schema info. No additional meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Create a component group on a status page', identifying the verb and resource. However, it does not differentiate from sibling tools like 'create_status_page_component' or 'create_status_page_incident', so it lacks sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. No context about prerequisites, scenarios, or exclusions. The agent has no information on when to prefer this over related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It states the creation action and lists fields, but it does not explain consequences such as subscriber notifications, default notifySubscribers behavior, publishing side effects, or reversibility. The schema mentions defaults, but the description itself adds little behavioral context beyond 'creates an incident.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, front-loaded with the core action, and organized into clear sections for required fields, optional fields, and alternatives. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description gives enough to understand the core request and avoids the maintenance-tool confusion, and the output schema covers return values. However, for a mutation tool with no annotations, it should also clarify side effects and account for the omitted optional field, leaving notable gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description compensates for low top-level schema coverage by enumerating required and optional nested fields and their enum values. However, it omits the optional monitoringIncidentId field and does not mention the required top-level page_id, so the parameter guidance is helpful but incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Create an incident on a status page.' It also distinguishes itself from the maintenance sibling by saying 'To schedule a maintenance window, use create_status_page_maintenance.' This is unambiguous and selection-relevant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a clear alternative for maintenance windows, which is the most likely source of confusion. It does not, however, explicitly contrast with the generic create_incident sibling, so the guidance is clear but not exhaustive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It only says 'create' and lists fields, without disclosing side effects such as public visibility on the status page, subscriber notification behavior, schedule auto-resolution, or the fact that this mutates state. It is not contradictory, but it is minimally transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is tightly written with a front-loaded purpose and a logically grouped field list. Every sentence earns its place, though the 'Required fields' list is slightly misleading because those fields are nested inside body and page_id is missing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex tool with a nested body schema, enums, optional flags, and defaults, but the description only covers the obvious fields. It omits page_id, default behaviors, and the structure of affectedComponents. The output schema reduces the need to describe return values, but the input guidance is still incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description usefully labels required vs optional fields, enumerates the impact values, and specifies ISO 8601 for scheduledFor. However, it omits the required top-level page_id, and context reports 0% schema description coverage, so a critical parameter is left undocumented in both the description and the schema's top level.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Create a maintenance window on a status page,' which states a specific verb and resource. The phrase 'on a status page' helps disambiguate this from the sibling create_maintenance_window, and the required/optional field list reinforces the operation's scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains what the tool does but provides no when-to-use guidance, prerequisites, or exclusions. With many siblings like list_status_page_maintenance, update_status_page_maintenance, and post_status_page_maintenance_update, an agent gets no criteria for selecting this tool over alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. The description lacks behavioral details such as behavior on duplicate names (uniqueness mentioned in schema but not here), permissions, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two efficient sentences with purpose upfront. Could be slightly expanded for completeness without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and an output schema, the description is minimal. It omits context about uniqueness errors or org scope, but schema fills some gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no meaning beyond the input schema, which already describes name (maxLength, uniqueness) and color (default, hex pattern). Baseline 3 is appropriate as schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create a tag', with a specific verb and resource. It distinguishes from sibling tools like create_monitor by being tag-specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It mentions required and optional fields, but does not provide explicit guidance on when to use or not use this tool, nor mentions alternatives like update_tag.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description must carry the transparency burden. It merely states creation without disclosing side effects (e.g., whether existing webhooks are affected), auth requirements, or idempotency. For a create operation, more behavioral context is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Very concise: two sentences covering purpose and required fields. No unnecessary words or repetition. Front-loaded with the action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, return values need not be described. However, the description omits any behavioral or setup context (e.g., how to get the webhook URL, event type management). Considering the tool's complexity (nested object, enum options), more detail would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides detailed descriptions for all parameters (url, description, subscribedEvents with enum). The description redundantly lists required fields ('url, events') but uses a different field name ('events' vs 'subscribedEvents'), which could confuse agents. It adds minimal value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Create a webhook endpoint.' with a clear verb and resource. It distinguishes well from siblings like update_webhook, delete_webhook, and list_webhooks, indicating a specific creation action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage context or alternatives are provided. The description does not indicate when to use this tool versus other notification-related tools (e.g., create_alert_channel, create_notification_policy) or specify prerequisites or restrictions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavior. It only states 'delete', implying mutation, but omits details like idempotency, permissions, error handling, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at one sentence, which is efficient but could be expanded to include critical context. It is adequately structured for a simple tool, but brevity sacrifices completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, the description should cover success/error behavior, but it does not. An output schema exists but its contents are not hinted at, leaving the agent without return expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage for its one parameter 'channel_id'. The description does not explain the parameter's meaning or format, adding no value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Delete an alert channel' uses a specific verb and resource, clearly indicating the tool's function. It distinguishes itself from siblings like 'list_alert_channels' or 'test_alert_channel' by the action verb.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, such as conditions or prerequisites. The description lacks context for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; the description only adds 'permanently' to indicate irreversibility. It does not disclose other behavioral traits such as authorization requirements, cascading effects, or whether the deletion is immediate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loaded, but it omits necessary detail. For a simple tool it is acceptable, but could be slightly improved by adding context about consequences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of an output schema and a sibling 'revoke_api_key', the description fails to provide enough context for proper tool selection. It does not mention return values or when permanent deletion is appropriate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the schema provides no documentation for 'key_id'. The description does not compensate by explaining the parameter's purpose (e.g., which key ID to use).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description states 'Delete an API key permanently', clearly identifying the action (delete) and resource (API key). However, it does not differentiate from the sibling 'revoke_api_key', which might have a similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 like 'revoke_api_key'. The description lacks usage context or constraints, leaving the agent to guess when permanent deletion is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description only says 'stop tracking', which is ambiguous about whether it permanently deletes the dependency. No mention of permissions, reversibility, or impact on other resources.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, but given the lack of annotations and parameter details, it is too brief to be fully effective. It earns its place but is minimal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter delete tool with an output schema, the description provides the core action but fails to explain return values, error states, or prerequisites. It is minimally adequate but could be improved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description does not mention the dependency_id parameter at all, leaving the agent without any guidance on how to obtain or provide the required identifier.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Stop tracking a service dependency' uses a specific verb ('stop tracking') and resource ('service dependency'), clearly distinguishing it from siblings like 'track_dependency' and 'get_dependency'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, nor any prerequisites (e.g., the dependency must exist). The description provides no context about side effects or sequencing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavior but only says 'delete by slug'. It does not mention irreversibility, cascading effects, or required permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, direct sentence with no extraneous information, achieving maximum conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple deletion tool with one parameter and an output schema, the description is minimally adequate but could benefit from specifying return value or idempotency.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description mentions the slug parameter, adding some context, but schema coverage is 0%, and the description merely restates the parameter name without further details like format or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'delete' and the resource 'environment', with the identifier 'slug' making the action specific. It distinguishes this tool from siblings like 'update_environment' or 'list_environments'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 preconditions, consequences, or when deletion is irreversible.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. Description mentions 'permanently', indicating irreversibility, but does not detail side effects (e.g., whether dependent resources are removed, immediate vs. scheduled deletion). Minimal 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise: four words that capture the core action. No unnecessary content; every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Output schema exists but its content is unknown; description does not explain return values or error conditions. For a permanent deletion tool with many siblings, more context (e.g., cascading effects, confirmation steps) would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 0% description coverage. The description adds no meaning beyond the schema (only provides parameter name 'monitor_id'). Fails to clarify format, expected values, or how to obtain the ID.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Delete a monitor permanently', which is a specific verb and resource. It distinguishes from sibling tools like 'pause_monitor' (temporary suspension) and 'create_monitor' (creation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 (e.g., disabling or pausing). Lacks context about prerequisites or consequences (e.g., data loss, impact on alerts).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description fails to disclose behavioral traits such as whether the deletion is permanent, requires permissions, or cascades to related resources. This is critical for a delete operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (one sentence) but lacks necessary information. While not verbose, it sacrifices clarity and completeness for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description does not explain return values. More importantly, for a delete tool, it should address irreversibility, permissions, or effects on dependent resources. The description is severely incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter, policy_id, has 0% schema description coverage. The description adds no meaning beyond the parameter name, failing to explain what a policy_id is or how to obtain it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Delete a notification policy.' clearly states the action (delete) and the resource (notification policy). It is specific and distinguished from sibling tools that delete other resource types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, nor any preconditions or notes. The description lacks context for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits. It only states 'delete' but does not explain whether the operation is irreversible, what happens to associated resources, or what permissions are needed. This is insufficient for a mutable operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise at one sentence, but it omits necessary details. While not verbose, it under-specifies the tool's behavior, which reduces effectiveness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (1 parameter, no annotations, output schema exists but unmentioned), the description is far from complete. It should explain the effect, permanence, and output format. Currently it lacks critical context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'group_id' is not explained in the description. Schema coverage is 0%, so the description adds no meaning beyond the schema's type definition. The agent must infer what constitutes a valid group_id.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (delete) and the resource (resource group), making the purpose immediately understandable. However, it does not distinguish this tool from siblings like 'update_resource_group' or 'create_resource_group', lacking context on uniqueness.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, no conditions for deletion (e.g., resource must exist), and no mention of prerequisites. It fails to help the agent decide to invoke this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description lacks behavioral transparency beyond the obvious destructive action. It does not disclose irreversibility, permission requirements, or side effects. Without annotations, the description carries the full burden, which it fails to meet.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at 4 words. It is front-loaded and to the point, but may be under-specified for a deletion operation, earning a slight deduction.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides minimal context for a simple deletion tool. It does not mention the output schema or any consequences, but the operation is straightforward. It is adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must explain the parameter. It says 'by key' but does not define what the key represents (e.g., unique identifier). This adds minimal semantic value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (Delete), the resource (secret), and the method (by key). It distinguishes itself from other tools like create_secret and update_secret, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidelines are provided. The description does not specify when to use this tool versus alternatives, nor does it mention any conditions or prerequisites for deletion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The word 'permanently' indicates irreversibility, which is good. However, no details about side effects (e.g., cascading deletes to components or subscribers) or permission requirements. Without annotations, more transparency is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, no waste. Front-loaded with verb and object. Appropriate length for a simple tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, its content is unknown and not described. The description lacks context on return values, preconditions, or permissions. Incomplete for an agent to confidently use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no meaning to the parameter 'page_id' beyond its name. With 0% schema description coverage, the parameter is effectively undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Delete') and the resource ('a status page'), with the adverb 'permanently' adding important scope. It is distinct from siblings like create_status_page or update_status_page.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. No mention of prerequisites, consequences, or conditions under which deletion is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits. It only says 'Remove', implying destructive action, but lacks details on irreversibility, cascading effects, or required permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, concise sentence with no wasted words. It earns its place by stating the core purpose efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description does not mention return values or errors. For a delete operation with two bare parameters, more context is needed for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%; the description adds zero information about the two parameters (page_id, component_id), leaving the agent to guess their format or purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Remove') and the resource ('a component from a status page'), directly matching the tool name and distinguishing it from other status page operations like create or update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 (e.g., update_status_page_component), nor any prerequisites or context for when removal is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description lacks details about the tool's behavior, such as irreversibility, cascading effects on components, or required permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no redundant information, effectively communicating the core action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and param descriptions, the description is insufficient for an agent to fully understand the tool's effects, especially since it is a destructive operation. It does not mention output or any side effects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description does not explain what page_id and group_id refer to or how to obtain them, offering no additional meaning beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Delete') and the resource ('a component group from a status page'), distinguishing it from sibling tools like create_status_page_group or delete_status_page_component.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, such as when to delete a component group vs a component or a full status page, or any prerequisites like ownership.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist; description only says 'permanently' implying irreversibility but does not disclose side effects, permissions, or what happens to associated data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence of 5 words, very concise. However, it could add structured info like parameter notes without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and two parameters lacking documentation, the description is insufficient. It does not cover parameter meaning or usage context, though output schema exists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and description adds no meaning to page_id or incident_id. Description does not explain what these IDs are or how to obtain them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the action (delete) and resource (status page incident), and uses 'permanently' to distinguish from dismiss/update. It differentiates from siblings like dismiss_status_page_incident.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 (e.g., dismiss_status_page_incident). No prerequisites or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the disclosure burden. It states that the deletion is permanent, which is an important destructive behavior. However, it does not mention permissions, cascading effects, whether the window must be in a particular state, or what happens if the identifiers are invalid.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler. Every word earns its place, and 'permanently' adds meaningful information rather than redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple two-parameter destructive action with an output schema present, so the description does not need to explain return values. It adequately communicates the core operation and permanence. It is slightly incomplete in not addressing the distinction from cancel/dismiss siblings, but that gap is mostly a usage-guidance issue.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description should compensate by explaining page_id and window_id. It does not: it only restates the resource type and provides no additional meaning about the role of each parameter. The names are somewhat self-explanatory, but the description adds no semantic value for invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Delete'), a concrete resource ('status page maintenance window'), and a clarifying qualifier ('permanently'). This clearly distinguishes the tool from sibling operations like cancel_maintenance_window or dismiss_status_page_maintenance, which imply non-permanent state changes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The word 'permanently' gives an implied usage hint: this tool is for permanent removal rather than cancellation or dismissal. However, there is no explicit guidance about when to prefer this over sibling tools like cancel_maintenance_window or dismiss_status_page_maintenance, or about any prerequisites or restrictions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits. It fails to mention whether deletion is irreversible, cascading effects, or permission requirements. The single sentence is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at three words, but this is under-specification. It lacks necessary details, making it insufficient for an agent to use correctly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity of a delete operation, the description should at least mention return values, error states, or idempotency. It does not, leaving the agent with incomplete information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the 'tag_id' parameter. The schema itself is minimal, and the description adds no semantic meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Delete' and the resource 'a tag', which matches the tool name. However, it does not differentiate from other tag-related tools like 'update_tag' or 'create_tag', though the verb itself is distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, nor any prerequisites or effects of deletion. The agent receives no context for decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits, but it only says 'Delete', which implies destruction. There is no mention of irreversibility, permissions, or impact on related resources.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short at one sentence, but it sacrifices necessary detail for brevity. It is not verbose but lacks completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, the description fails to cover return values (despite an output schema) and assumes common knowledge about webhook deletion. The description alone is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema coverage, the description adds no meaning to the webhook_id parameter beyond its name. No format, validation, or identification context is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Delete' and the resource 'webhook endpoint', distinguishing it from sibling tools like create_webhook, get_webhook, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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, prerequisites, or alternatives. The agent receives no context about when deletion is appropriate or what side effects to expect.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description indicates the tool deletes an incident without publishing, which is destructive. However, with no annotations, it fails to disclose other behavioral aspects such as irreversibility, permission requirements, side effects, or return value details beyond the bare minimum.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at a single sentence. While it avoids unnecessary detail, it could benefit from additional context without becoming verbose, such as a brief clarification on draft-only applicability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of sibling tools and a non-trivial input schema, the description is insufficient. It does not explain how this tool differs from 'delete_status_page_incident', nor does it cover output schema or error scenarios, leaving significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description does not mention the parameters 'page_id' or 'incident_id' at all, providing no meaning beyond their names. This severely limits understanding for an agent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it deletes a draft incident without publishing, which specifies the action and resource. However, it does not fully distinguish from the sibling tool 'delete_status_page_incident', which might also delete incidents, leaving ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage context is provided. It does not specify when to use this tool versus alternatives like 'publish_status_page_incident' or 'delete_status_page_incident', nor does it mention prerequisites or restrictions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden. It does disclose the key destructive trait — that dismissing deletes the draft rather than publishing it — which is honest about side effects. However, it omits what happens if invoked on a non-draft window, whether the deletion is permanent/reversible, and any prerequisite checks on page_id or window_id.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler. The core verb comes first, the resource scope follows, and the behavioral clarification is packed into an efficient parenthetical. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is low-complexity (2 simple string params, no nested objects) and has an output schema, so the description need not explain return values. It covers the two essentials an agent needs — what the action does and that it applies only to drafts. The main gap is edge-case behavior for non-draft windows, which is more than a minor omission but not crippling for a simple tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no parameter-level meaning beyond the raw identifiers page_id and window_id. The phrase 'draft maintenance window' loosely maps to window_id, but nothing explains that page_id identifies the status page owning the window or how the two relate, leaving the agent to infer from tool name alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Dismiss') with a scoped resource ('a draft maintenance window') and clarifies the operational meaning with the parenthetical '(deletes it without publishing)'. This distinguishes it from sibling tools like publish_status_page_maintenance and delete_status_page_maintenance without requiring the agent to open their schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The qualifier 'draft' implies this tool is only appropriate for unpublished maintenance windows, which is a genuine usage signal. However, it never names alternatives such as cancel_maintenance_window or delete_status_page_maintenance, nor states when NOT to use this tool (e.g., for published windows). The usage context is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It conveys that the tool destroys any active lock regardless of ownership and requires admin privileges, but lacks details on side effects or logging.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with action and context, no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool is simple with no parameters and has an output schema; description covers core purpose and access level. Could mention return value but not essential.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has zero parameters and 100% coverage, so no additional parameter description is needed. The baseline for no parameters is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool force-releases a deploy lock and specifies it's an admin action, distinguishing it from sibling tools like release_deploy_lock and get_current_deploy_lock.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates it's an admin action, implying privileged use. It doesn't explicitly state when not to use it, but the sibling context provides alternative tools for normal releases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavior. It only states it retrieves by ID, omitting what happens for non-existent IDs, error handling, or whether it is idempotent. This lack of detail hinders an agent's understanding of the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at one sentence. It front-loads the purpose, but the brevity sacrifices necessary detail. It is efficient but may be too terse for adequate understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity (single parameter) and existence of an output schema, the description is partially complete. However, it lacks details on error conditions, permissions, and return behavior, which are important for an agent to use the tool reliably.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, and the description only mentions 'by ID' without explaining what the channel_id parameter represents, its format, or how to obtain valid values. The description fails to compensate for the missing schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get an alert channel by ID,' clearly indicating the action and resource. It distinguishes itself from sibling tools like list_alert_channels and test_alert_channel, but is brief and lacks context about what an alert channel is.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives such as listing or testing alert channels, nor does it mention prerequisites or conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description bears full burden. It explains that the tool returns data keyed by component ID over a period, and notes it's for leaf components. This is sufficient but lacks details on rate limits, idempotency, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences: first states purpose and key details, second provides usage guidance. No wasted words, efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, description does not need to detail return values, but it does mention 'keyed by component ID'. For a list tool, this is adequate. Could add a note about the output schema or pagination.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but description explains both parameters: 'slug' (implied as catalog service) and 'period' with allowed values and default. Adds meaningful guidance beyond schema structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb 'Get', resource 'daily uptime history for every leaf component of a catalog service', and scope 'in one call, keyed by component ID'. It also differentiates from sibling tool get_component_uptime by recommending this for comparing components.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance: 'Prefer this over repeated get_component_uptime calls when comparing components.' Also specifies valid period values and default. Does not list when not to use, but context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses that the secret value is never returned, a key behavioral trait. However, it omits other details like authentication requirements or rate limits, though this is a simple read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that delivers the core message with zero unnecessary words. It is front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the existence of an output schema, the description is partially complete. However, the lack of parameter explanation is a gap. It does cover the essential behavioral note about the secret not being returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not explain the 'key_id' parameter beyond 'by id'. It provides no details on format, source, or constraints, leaving the agent with insufficient guidance to construct a valid request.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (Get) and resource (a single API key's metadata by id). It also notes the secret value is never returned, differentiating it from list_api_keys (multiple) and create/delete/revoke.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when needing a single key's metadata by id, but does not explicitly contrast with siblings like list_api_keys (for multiple) or create/delete/revoke. No when-not or alternative guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must carry behavioral info. Describes return content but does not explicitly state read-only nature or any side effects. Implicitly safe, but could be more explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose and content summary. No superfluous words. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given simple input (one param) and presence of output schema, the description covers what the tool does, what it returns, and when to use it. No missing critical context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Single parameter check_id with 0% schema description coverage. Description adds meaning by linking it to a 'specific check execution ID' and providing usage context, compensating for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it returns all detection engine data for a single check, including rule evaluations, state transitions, and policy snapshot. Distinguishes from sibling get_ tools by being specific to check execution IDs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use when a user references a specific check execution ID' with concrete examples like support tickets or webhooks. Does not contrast with potential alternatives like list_monitor_rule_evaluations, but the guidance is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It states it returns daily uptime history for a given period, but does not disclose aspects like read-only nature, rate limits, or data aggregation. The presence of an output schema partly compensates for return format, but behavioral constraints are missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The purpose is front-loaded, followed by essential details (example, period options, source for component_id). Excellent clarity in minimal space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (3 parameters, output schema present), the description covers all necessary aspects: what it does, parameters (with details), and how to obtain component_id. No critical gaps for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description compensates by explaining the period parameter's allowed values and default. It also tells the source for component_id. However, the slug parameter is not described (likely the service slug). Overall, it adds significant meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves daily uptime history for a single component, distinguishing it from siblings like get_all_components_uptime (multiple components) and get_service_uptime (whole service). It provides a concrete example ('API' component of Stripe) and valid period options.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description instructs users to get component IDs from list_service_components, helping them prepare parameters. It implicitly indicates when to use this tool (per-component uptime) vs alternatives. No explicit 'when not to use' but context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description carries full burden. It discloses that the tool returns null if unlocked, but does not mention permissions, rate limits, or side effects. For a simple getter, this is acceptable but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence that is concise and front-loaded with the verb and resource. No superfluous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless getter with an output schema, the description is complete. It succinctly explains the tool's purpose and expected return value (active lock or null).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, and schema description coverage is 100%. Description adds no parameter info, but none is needed. Baseline 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it retrieves the currently active deploy lock, returning null if none. Distinguishes from sibling tools like acquire_deploy_lock (creates) and release_deploy_lock (removes).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for checking lock status, but does not explicitly state when to use this versus other lock-related tools. However, sibling names like acquire and release provide context, making it clear this is for reading only.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Absent annotations, the description carries the burden of disclosing behavior. The verb 'Get' implies a read-only operation, which is correct. However, no additional traits are described (e.g., idempotency, error handling, rate limits). The description is adequate for a simple retrieval but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no unnecessary words. It is front-loaded with the key action and resource, making it extremely efficient for an agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite low complexity (1 parameter, output schema exists), the description is incomplete. It does not elaborate on the parameter's meaning or usage context. The existence of an output schema partially compensates for return value documentation, but the parameter remains undocumented, making the description insufficient for proper tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, meaning no parameter descriptions in the schema. The description only mentions 'by ID', which is redundant given the parameter name 'dependency_id'. It adds no semantic value beyond what the schema already provides, failing to explain the parameter's format, source, or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get' and the resource 'tracked dependency by ID', making its purpose immediately obvious. It distinguishes itself from sibling tools like 'list_dependencies' (which lists all) and 'delete_dependency' (which deletes), as it specifies retrieval by a unique identifier.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. While the purpose is clear, there is no mention of prerequisites, common scenarios, or exclusions (e.g., 'Use this when you have a specific dependency ID; otherwise use list_dependencies').

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must convey behavioral traits. It only states 'Get', implying read-only, but does not disclose error behavior (e.g., if environment not found), required permissions, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no extraneous information. Every word contributes to the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity of the tool (single required parameter, output schema exists), the description adequately covers the core purpose and parameter semantics. However, it omits details about the return value or failure cases, which slightly reduces completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, but the description compensates by explaining that 'slug' is an environment name like 'production' or 'staging', adding meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get an environment') and the resource ('by slug'), with concrete examples ('production', 'staging'). This distinguishes it from siblings like list_environments.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly guides use by naming the parameter and giving examples, but does not explicitly state when to use vs. alternatives (e.g., list_environments) or what to do if the slug is unknown.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It indicates a read operation ('get') and mentions 'full details', but does not disclose error handling (e.g., behavior when ID not found), authentication needs, or rate limits. The transparency is adequate but could be enhanced with more specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence of 7 words, concise and front-loaded. Every word is meaningful, with no redundancy or wasted space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple retrieval tool with a single parameter and an output schema, the description is sufficiently complete. It covers the core functionality and scope. Given the presence of an output schema, it need not detail return values. However, it could mention that the tool is for retrieving an existing incident, but that is implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter, incident_id, is a required string with 0% schema description coverage. The description does not add meaning beyond 'ID'; it fails to specify format, example, or source. While the parameter name is descriptive, the description should provide additional context given the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get a single incident by ID with full details' clearly states the verb (get), resource (incident), and scope (single by ID, with full details). It effectively distinguishes itself from sibling tools like list_incidents (which retrieves multiple) and get_incident_timeline (which retrieves timeline only).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage (when you need a specific incident by ID), but it does not explicitly state when to use this tool versus alternatives, such as list_incidents for multiple incidents or get_incident_timeline for timeline. No exclusions or alternative suggestions are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses that the tool returns a 'full forensic timeline' including state transitions, rule evaluations, and policy snapshot, indicating a read-only, non-destructive operation. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences plus a use-case line, no wasted words. Key information is front-loaded: 'Full forensic timeline for an incident.' followed by specifics and usage guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists, the description covers inputs (one parameter), output types (transitions, rule evaluations, policy snapshot), and use cases. Complete for a specialized forensic tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter 'incident_id' is not described in schema (0% coverage), but the description implies it identifies the incident. Meaning is clear from context, but explicit parameter documentation would improve clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns 'every recorded state transition', 'rule evaluations', and 'policy snapshot', distinguishing it from siblings like get_incident (basic info) and get_policy_snapshot (only policy). It uses specific verbs and explains the forensic value.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this to explain why an incident was declared/confirmed/resolved, or to audit a past detection decision.' This provides strong guidance on when to use, though it doesn't explicitly mention when not to use or list alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It implies a read-only retrieval but lacks explicit statements about side effects, permissions, rate limits, or response format. 'Full details' is vague.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one sentence, eight words) and front-loaded. It avoids fluff but could be slightly expanded to include parameter or usage hints without losing efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, output schema present), the description is nearly complete. It covers the essential purpose and identification method. Lacks explicit sibling differentiation but is inferable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description mentions 'by ID', providing minimal context. However, it does not elaborate on the format, source, or validation rules for the window_id parameter, leaving room for ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get a single maintenance window by ID with full details' clearly specifies the verb (get), resource (maintenance window), and selection method (by ID). It distinguishes itself from siblings like list_maintenance_windows (multiple), create, update, and cancel.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage (when needing details of a specific window) but does not explicitly state when to use this tool versus alternatives or provide exclusions. No mention of when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the burden. It only states what is returned ('full configuration') but does not disclose any behavioral traits like auth requirements, rate limits, or idempotency. It adds minimal transparency beyond the obvious read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no unnecessary words, efficiently conveying the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a simple tool with one parameter and an output schema (not shown), the description is mostly adequate. However, it could briefly note that this is a read-only operation or any prerequisites, but for a basic get, it is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning. It mentions 'by ID' but does not elaborate on the format, constraints, or how to obtain the ID. Little additional value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (Get), resource (a single monitor by ID), and scope (full configuration), making it distinct from list_monitors and other get_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 like list_monitors or get_monitor_versions. Context for selection is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It implies a read-only operation ('Get') but does not disclose what happens if the policy ID is invalid, whether authentication is required, or any side effects. The presence of an output schema mitigates slightly, but behavioral details are lacking.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It is appropriately sized for a simple get operation, though it could include more context without becoming long.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity of the tool (one parameter, output schema exists), the description is minimally adequate. It covers the basic action but omits error handling, response structure (though output schema helps), and usage notes. For a read operation, this is borderline sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description should compensate. It mentions 'by ID', which adds minimal meaning beyond the parameter name 'policy_id'. It does not explain the ID format, where to obtain it, or that it is required (already obvious from schema).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get' and the resource 'notification policy by ID', which is specific and unambiguous. However, it does not explicitly differentiate from sibling tools like 'list_notification_policies', though the resource name itself provides some distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 (e.g., list_notification_policies for retrieving all policies). The description does not mention prerequisites or context for use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses the read-only nature and the stability of the hash, but does not address error handling or permission requirements. Adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences that front-load the action and provide context. No unnecessary words; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has only one required parameter, an output schema exists, and the description clearly states the purpose and use case, it is fully complete for an agent to correctly invoke the tool without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds meaning by specifying 'content-addressed SHA-256 hash' and explaining the hash's stability. This goes beyond the schema which only names the parameter. Could be more explicit about hash format (hex encoding).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches a policy snapshot by its SHA-256 hash, and elaborates on the use case for inspecting historical detection policies. This distinguishes it from other get_* tools by specifying the content-addressed retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use the tool (to inspect the exact policy active during a past event) and highlights the hash stability benefit. However, it does not explicitly mention when not to use it or suggest alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description carries full burden. It does not disclose any behavioral traits (e.g., read-only nature, required permissions, or side effects), beyond the basic retrieval action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no filler. It is appropriately front-loaded and efficient for a simple retrieval operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (1 parameter, output schema present), the description is adequate but lacks details such as what the output contains. The output schema compensates, but the description could be more helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter ('group_id') with no description (0% coverage). The description adds only 'by ID', providing minimal context about the parameter's format or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get') and the resource ('a resource group'), specifying retrieval by ID. It distinguishes from sibling tools like 'list_resource_groups' (which lists all) and CRUD operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when a specific group ID is known, but it does not explicitly state when to use this tool versus alternatives (e.g., list_resource_groups when ID unknown) or any prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the burden. It correctly implies a read operation (no mutation) and specifies returned data. However, it does not mention safety guarantees, side effects, or any behavioral traits like pagination or performance implications.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, well-structured sentence that front-loads the verb and resource, includes an illustrative example, and avoids extraneous words. Every element serves a purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple get-by-slug tool with one parameter and an output schema, this description is complete. It states the key identifier and outlines the core response data (status, categories, component overview), which is sufficient given the output schema's existence.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds an example value (e.g., 'github'), clarifying the expected format. However, it does not explain what a slug is or provide constraints on input (e.g., required uniqueness). The example helps but is minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (get), resource (catalog service summary), identifier (slug), and included data (status, categories, component overview). It effectively distinguishes from siblings like get_services_summary (list) and get_service_live_status (live status) by focusing on summary retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when a service summary is needed by slug but provides no explicit guidance on when to use this tool versus alternatives. No exclusions or comparisons to similar tools are mentioned, which is a gap given the large sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It describes the outputs (uptime, impact windows, incidents) and the input format, but does not disclose whether the operation is read-only, any required permissions, or potential performance considerations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no fluff, front-loaded with the main action. Every sentence adds value, including the example usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema, so return values are covered. The description provides sufficient context about what the tool returns (uptime, impact windows, incidents) and the input constraints. For a simple rollup tool with two parameters, the description is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds meaning for the 'date' parameter (UTC calendar day, ISO YYYY-MM-DD) and implies 'slug' is the service identifier via the example. However, it does not fully describe all parameter details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (get a one-day rollup), the resource (catalog service), and the specific outputs (aggregated uptime, per-component impact windows, incidents). It also provides an example query, which distinguishes it from sibling tools like get_service_uptime or list_service_incidents.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use the tool: to answer 'what happened to Stripe on 2026-06-01?'. However, it does not explicitly mention when not to use it or provide alternatives among the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Describes the output content (full detail with timeline). Given no annotations, it sufficiently discloses behavior for a read-only get operation, though it does not explicitly state it is read-only.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences. First sentence states purpose and output, second gives prerequisite. Action verb 'Get' is front-loaded. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, output content, and prerequisite. Output schema exists, so return values need not be detailed. However, it does not differentiate from sibling 'get_incident' or explain the 'slug' parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning for 'incident_id' by referencing its source but does not explain 'slug'. With 0% schema description coverage, it only partially compensates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description specifies the action 'Get', the resource 'one vendor incident', and details the included timeline. It distinguishes from sibling 'list_service_incidents' by noting that IDs come from there.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear prerequisite: 'Get incident IDs from list_service_incidents.' However, it does not contrast with sibling 'get_incident' or specify when to use this tool over alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, description provides some behavioral detail (real-time, from upstream page) but lacks specifics on rate limits, auth, or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.