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

No annotations are provided, and the description does not disclose whether the operation is read-only, requires specific permissions, or has side effects. 'Compare' suggests a read operation but this is not stated, leaving the agent without critical 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?

A single sentence that conveys the core purpose without unnecessary words, appropriately 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?

The description provides the core purpose and scope, but given no annotations and low schema coverage, it lacks parameter semantics and behavioral guidance. The presence of an output schema covers return values, so completeness is moderate.

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 required principalId or optional workflowIds. Although parameter names are somewhat self-explanatory, the description fails to add 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?

Description explicitly states the action (compare), the target (health, root blockers, completion forecasts), and scope (across active workflows), clearly distinguishing it from sibling tools like detect_blockers which focus on single-workflow issues.

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 explicit when-to-use or alternatives mentioned, but the phrase 'across active workflows' implies this tool is for comparative analysis of multiple workflows; guidance is weak.

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 adds some transparency by mentioning output components ('evidence and risk breakdowns') but does not disclose side effects, permissions, read-only nature, or other behavioral traits. For a detection tool, more context is expected.

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 that immediately states the verb and object, with no wasted words. It is appropriately front-loaded and efficiently packed.

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 only two parameters and an output schema, but the description is too terse to convey use cases, prerequisites, or edge cases. The output schema may explain return values, but the description fails to place the tool in a broader workflow 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 input schema has 0% description coverage—the description does not mention parameters at all. It fails to explain the meaning of 'principalId' or 'workflowId', leaving the agent without semantic guidance beyond the schema's basic types and defaults.

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 a specific action ('Detect') and resource ('workflow blockers'), with additional qualifiers ('deterministic', 'with evidence and risk breakdowns') that add specificity. It is distinguishable from sibling tools like 'escalate_blocker' but does not explicitly name them.

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. It merely states what the tool does, leaving the agent to infer usage context from the description alone.

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

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

With no annotations, the description must reveal behavioral traits, but it only says 'Prepare an evidence-backed escalation' without mentioning side effects, required permissions, state changes, or process details. It does not explain what 'evidence-backed' entails or whether the tool only generates output or takes action. The description is vague about the tool's actual behavior beyond the name.

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 redundant words, making it concise and front-loaded. It earns its place by conveying the core action and context. However, it may be too brief given the ambiguity, but conciseness itself is well-handled.

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?

While an output schema exists (so return values may be covered), the description lacks essential context about when to use the tool, what evidence is needed, and what 'escalation' entails. For a tool with 2 parameters and no annotations, the description is incomplete for proper selection and 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 description coverage is 0%, and the description fails to clarify the parameters. The sole required parameter is 'principalId', which is not explained, and 'workflowId' is only vaguely implied by 'workflow'. The description adds no meaning to the schema, so the agent cannot infer what values to provide or what they represent.

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 clear action ('Prepare an evidence-backed escalation') and a specific target ('workflow root blocker'), which is more specific than a generic verb. However, it does not explicitly differentiate from sibling tools like detect_blockers or simulate_resolution, even though escalation is distinct. This fits 'clear but no 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. It does not mention prerequisites, when escalation is appropriate, or reference any sibling tools. The context signals show 12 siblings, but none are mentioned, so the agent gets no direction on selection.

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 full burden of behavioral disclosure. It does disclose two key behaviors: executing the action and recalculating the live workflow. However, it does not mention permissions, reversibility, error conditions, or other side effects. The 'approved' qualifier adds useful context about a precondition, but the overall disclosure is still sparse.

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 that front-loads the verb and captures the essential behavior. It contains no filler words and is appropriately sized for a simple tool. Under-specification is not penalized here, as other dimensions cover 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?

Although an output schema exists, the description is inadequate for a mutation tool with no annotations. It does not clarify the meaning of 'planned action', the parameter roles, or the post-execution state beyond recalculation. Given the surrounding tools (planning, simulation, rollback), an agent needs more context about prerequisites, side effects, and the action lifecycle. The description is too thin to fully guide 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 input schema has zero description coverage for all three parameters (actionId, workflowId, principalId), and the description does not mention any of them. There is no explanation of what an action ID is, what principalId represents, or the role of workflowId. With 0% schema coverage and no compensating parameter details, the description completely fails to help an agent understand the parameters.

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 ('execute') and resource ('planned action'), and it clearly states the action's primary effect. It distinguishes the tool from siblings like plan_next_actions and rollback_action by focusing on execution of an approved action. The phrase 'approved planned action' adds clarity about the lifecycle stage.

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 does not provide explicit guidance on when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or references to sibling tools. The phrase 'approved planned action' implies a precondition but does not elaborate on how approvals are obtained or when to choose this over plan_next_actions or rollback_action.

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 full burden. It discloses output formats but doesn't state whether export is read-only, requires permissions, or has side effects, nor does it mention that principalId is required beyond the schema.

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 concise sentence with front-loaded verb and object. However, brevity sacrifices explanatory 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?

With no annotations and 0% parameter coverage, the description is too sparse for an agent to understand the principalId context or usage alternatives. The output schema exists but doesn't compensate for missing usage and parameter semantics.

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%. The description only references 'workflow' but never explains principalId or the role of either parameter, adding no meaning beyond the schema's field 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?

Description uses specific verb 'Export' and names resource 'audit report' with output formats (JSON and Markdown). It clearly differs from siblings like verify_audit_integrity.

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 vs alternatives. The sibling set includes other audit-related tools, but the description doesn't position this export tool relative to them.

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 mentions 'recalculate the workflow state,' implying side effects, but does not elaborate on failure modes, permission requirements, or the extent of state changes.

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 concise, though it sacrifices detail 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 tool's complexity—nested event object, multiple parameters, and no annotations—the description is under-specified. It lacks guidance on usage context, side effects, or prerequisites, making it insufficient for an agent to fully understand the tool's behavior and integration points.

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 any of the three parameters (event, workflowId, principalId). It only hints at 'event' but lacks definitions for the nested event object or the other parameters, providing no added semantic value.

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+resource: 'Ingest an enterprise event' and states the follow-up action 'recalculate the workflow state.' This clearly differentiates it from sibling tools like detect_blockers or simulate_resolution, which focus on analysis rather than event ingestion and state recalculation.

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. It does not mention any conditions, prerequisites, or competing tools, leaving the agent without explicit usage context.

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 mentions that actions require approval, but it does not describe side effects, whether the tool persists data, or the nature of 'evidence-backed' planning. Given the lack of annotations, this is a significant transparency 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 a single sentence and is technically concise, but it is under-specified. It leaves out important contextual details, making it closer to minimal than appropriately sized for a tool with multiple parameters and an output 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?

Given the tool's complexity (two parameters, no annotations, an output schema), the description is too sparse. It does not mention the workflow context, what constitutes an 'action', or how the approval requirement affects invocation. The output schema exists but the description doesn't help pre-contextualize it.

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 information about the parameters (workflowId, principalId). It does not explain their purpose, syntax, or relationship, leaving the agent without any guidance beyond the schema's basic type and required flags.

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 'plan' and identifies the resource as 'actions', clearly distinguishing this from execution-focused siblings like 'execute_action' and 'rollback_action'. It conveys the core purpose, though 'actions' is somewhat generic and it doesn't explicitly name alternative 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?

The phrase 'require approval before execution' implies this tool is for pre-execution planning, offering clear context for when it should be used. However, it does not explicitly state when not to use it or mention alternative tools like 'simulate_resolution' or 'execute_action', so guidance 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 must disclose behavior. It states the forecast is 'deterministic' and mentions critical-path analysis, which adds useful behavioral context. However, it doesn't explicitly state whether the tool is read-only, what side effects exist, or any authentication requirements.

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 immediately states the core function with no filler or redundant phrasing. It efficiently front-loads the verb and resource.

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?

While an output schema exists to cover return values, the description lacks any guidance on prerequisites, input parameter roles, or when to choose this tool over its siblings. For a relatively simple tool, the core purpose is stated, but the absence of parameter semantics and usage context leaves 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?

Schema description coverage is 0% and the description does not mention the parameters workflowId or principalId at all. The agent receives no semantic guidance beyond the parameter names, which are insufficient for understanding the required principalId and default workflowId.

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 the specific verb 'Forecast' and identifies the resource as 'deterministic completion timing,' plus the secondary purpose of identifying critical-path delay drivers. This clearly distinguishes it from siblings like detect_blockers and what_if_multi, though it doesn't explicitly mention workflows or tasks.

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 it (when a deterministic completion forecast is needed) but provides no explicit exclusions or alternatives. It doesn't mention when not to use it or how it differs from siblings like detect_blockers or what_if_multi.

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. While it mentions 'in-memory' and 'deterministic seed state,' it does not disclose the destructive nature of a reset (overwriting current state), the scope of the reset (e.g., per principalId), or any side effects. This is a significant gap for a reset-type 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 a single, concise sentence that immediately conveys the core function. It is well-front-loaded and contains no extraneous 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?

Despite the simplicity of the tool (one parameter, no nested objects), the description leaves key gaps: it does not explain the purpose of 'principalId' and does not describe the behavioral outcomes beyond 'deterministic seed state.' An output schema exists, but the missing parameter semantics and side-effect disclosure make the description incomplete for an agent to invoke this 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 description coverage is 0%. The description does not mention the required 'principalId' parameter at all, nor does it explain its meaning or role in the reset operation. The schema only shows it as a string with minLength 1, leaving the agent to infer its 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 function: 'Reset the in-memory demo workflows and subscriptions to their deterministic seed state.' The verb 'reset' and the specific resource ('in-memory demo workflows and subscriptions') are precise, and this distinguishes it from sibling tools like simulate_resolution or rollback_action, which do not reset state.

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 this tool is for resetting demo state, but it does not explicitly state when to use it instead of alternatives (e.g., rollback_action) or provide any exclusions. The usage is implicit from the name and description, but no direct guidance is given.

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 that a snapshot is restored, implying a state mutation, but does not disclose side effects (e.g., whether current changes are lost), reversibility, permissions, or idempotency. This is a significant gap for a rollback 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, concise and free of fluff, but it is under-specified for a tool with two parameters and no other documentation. It is compact yet not appropriately sized because it omits critical 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?

Given the tool's moderate complexity, the description is incomplete. It lacks parameter semantics, usage guidance, and behavioral context. While an output schema exists, it does not compensate for the missing descriptions needed to select and invoke the tool 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 description coverage is 0% and the description does not mention workflowId or principalId at all. The agent has no indication what these parameters mean or how they relate to the rollback, making it impossible to invoke the tool with confidence.

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 ('restore') with a clear resource ('the snapshot before the last approved state-changing action'), which distinguishes it from sibling tools like execute_action or simulate_resolution. The phrase 'before the last approved state-changing action' provides precise scope for what is rolled back.

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. There is no mention of prerequisites (e.g., must have an approved action), exclusion criteria, or comparison with siblings like plan_next_actions or reset_demo. The agent is left to infer usage solely from the purpose statement.

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 entire burden of behavioral disclosure. It explicitly states the most critical behavior: the tool does not modify live workflow state. This is a key safety trait for an agent. It doesn't cover permissions or additional side effects, but the non-destructive nature is effectively communicated.

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 is front-loaded with the verb and resource. It contains no redundant or filler words and communicates the essential behavior 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?

The description is minimal but covers the primary contextual need: non-destructive simulation. However, it doesn't explain what a 'resolution' entails or provide any detail about the simulation's scope or output, relying entirely on the output schema. For a moderately complex tool with 4 parameters, this 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?

The description provides zero parameter-specific information, leaving all four parameters (nodeId, resolvedAt, workflowId, principalId) unexplained. Schema description coverage is 0%, and the description does not compensate by hinting at what each parameter means or how they relate to the simulation. This is a significant 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?

The description uses a specific verb ('Simulate') and resource ('workflow resolution'), clearly stating the tool's function. It also distinguishes itself from siblings like execute_action by explicitly noting it does not change live workflow state, 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?

The description implies a clear use case: when you want to preview or test a resolution without causing real changes. It provides a strong contextual cue ('without changing live workflow state') but doesn't explicitly name alternatives or state when not to use it, unlike the high-calibration example.

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 mentions tamper-evident SHA-256 but does not explicitly state that the operation is read-only, what happens upon detecting tampering, or any side effects. The opaque nature of verification behavior is insufficiently disclosed.

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, focused sentence with no filler. It front-loads the core purpose and is appropriately sized for a tool of this simplicity.

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 covers the core purpose. However, it lacks usage context and behavioral details, making it minimally complete. There is no guidance on when to invoke this tool vs siblings or what the results signify.

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 role of workflowId or principalId. While the parameter names are somewhat self-descriptive, no additional meaning is added. The agent must infer that workflowId identifies the workflow and principalId identifies the principal, but the description provides no support.

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's function with a specific verb and resource: verify the tamper-evident SHA-256 audit chain for a workflow. This is distinct from the sibling tools, which are focused on actions like execution or rollback.

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 context through the verb 'verify' and the reference to an audit chain, but it does not explicitly state when to use this tool vs alternatives or provide any exclusions. There is no mention of scenarios where this tool is preferred over export_audit_report or other siblings.

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 must convey safety and behavior. It does disclose that the live workflow is unchanged, a key safety property, but it does not explain other behavioral aspects such as output format, dependencies, or error conditions.

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 redundant words, immediately front-loading the core action, and is appropriately concise for its limited content.

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 four parameters, zero schema coverage, and no annotations, the description is too terse to support correct invocation. It omits parameter semantics, usage context, and does not compensate for the lack of structured documentation.

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 makes no reference to any parameter (nodeIds, resolvedAt, workflowId, principalId), leaving all parameters semantically unexplained. The single phrase 'workflow nodes' only loosely maps to nodeIds.

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 ('Simulate resolving multiple workflow nodes') and the key constraint ('without changing the live workflow'), which also distinguishes it from the sibling 'simulate_resolution' by explicitly specifying multiple nodes.

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 the use case for simulating multiple workflow nodes but does not explicitly mention when to use this tool over alternatives like 'simulate_resolution' or provide any exclusion criteria.

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