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

No annotations are provided, so the description carries the full behavioral disclosure burden. It states the core comparison but does not disclose return format, read-only status, how missing values are handled, or how the 'two most recent' values are selected across forms.

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; the core action and target are immediately visible. It is under-specified semantically, but structurally it is concise and well-organized.

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, no output schema, and three undocumented parameters, a one-sentence description is insufficient. An agent cannot determine how cik and metric should be formatted, what forms are involved, what the comparison result looks like, or how this relates to list_metric_periods.

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 loosely maps 'metric' to the financial metric and 'SEC' to the company context, but it does not explain the cik parameter, the role of form, or accepted values/formats for any parameter.

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 ('Compare') and identifies the resource ('two most recent SEC values for one financial metric'), making the core operation clear. It does not explicitly differentiate from siblings like list_metric_periods, but the compare action is distinct enough for basic selection.

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?

There is no guidance on when to use this tool versus alternatives such as list_metric_periods, which likely provides the underlying periods/values. The phrase 'two most recent' implies recency context, but the description does not explain prerequisites, exclusions, or when another tool should be preferred.

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 communicates that the tool is advisory rather than executing ('Ask ... whether'), but it does not disclose the return shape, side effects, latency, permissions, or whether an unsafe result triggers an approval workflow. This is minimal transparency 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?

The description is a single, front-loaded sentence with no filler; every word contributes to stating the tool's purpose. However, the brevity leaves out behavioral and usage details, making it concise but slightly under-specified.

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 security-evaluation tool with no annotations, no output schema, and a free-form arguments object, the description is too thin. It does not state what the response contains, when to use this tool relative to guarded_action or resolve_approval, or how the arguments are validated. An agent can make a first guess but lacks enough detail to call confidently.

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 tool_name or the arguments object. 'Proposed tool call' loosely implies both parameters, but it never clarifies that tool_name must reference a registered tool or that arguments should mirror the call being evaluated. The free-form arguments object remains largely undefined.

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 clear verb ('Ask'), names the resource ('MCP Guardian'), and defines the object ('proposed tool call'), making the core function obvious. It doesn't explicitly distinguish itself from siblings like guarded_action or resolve_approval, but the 'safe to execute' framing makes its advisory nature reasonably clear.

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 call this tool versus alternatives. The description implies a pre-execution safety check, but it does not state that guarded_action should be used to actually run the call, nor what to do if the result is unsafe. Agents must infer usage context from the name and 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?

With no annotations, the description carries the full burden of explaining behavior. It does disclose three possible outcomes (execute, block, queue), but it omits what evaluation criteria are used, what side effects occur, whether approval is required, and what happens to a blocked or queued 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 economical sentence with no obvious filler, but it is under-specified to the point of missing essential operational context. It reads as terse rather than deliberately concise.

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 guarded execution tool with two required parameters, nested arguments, no output schema, and no annotations, the description is far too incomplete. It does not cover return values, approval flow, error behavior, or how this tool relates to siblings such as list_pending_actions and resolve_approval.

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 tool_name or arguments. The agent receives no guidance on what tool_name should contain, what shape arguments should take, or how the payload relates to the protected action being executed.

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 phrase ('evaluate and safely execute, block, or queue') and names a resource ('protected local action'), so it is not a tautology. However, 'protected local action' is vague and the description does not differentiate it from sibling tools such as evaluate_tool_call or resolve_approval.

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 when-not-to-use guidance is provided. The only implicit signal is the phrase 'protected local action,' but the description never clarifies when this guarded wrapper should be preferred over directly invoking a tool or over sibling tools like resolve_approval.

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 discloses that results are 'redacted' and limited to 'recent' events, which adds meaningful behavioral context. However, it does not mention ordering, pagination, access requirements, or whether the operation is strictly read-only beyond the name 'list'.

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. It efficiently conveys the core purpose and key behavioral trait ('redacted') in minimal 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?

The tool is simple, with one optional parameter and an output schema, so the description does not need to explain return values. However, the ambiguous 'Guardian' terminology and absence of usage guidance leave the definition minimally viable rather than fully 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%, and the description does not mention the 'limit' parameter at all. The parameter name and default value make it self-evident, but the description adds no meaning beyond the schema, so it fails to compensate for the lack of 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 uses a clear verb ('Return') and names a specific resource ('recent redacted Guardian decisions and execution outcomes'). It is specific enough to distinguish from siblings like list_pending_actions, though it does not explicitly contrast with any sibling.

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 tool is for retrieving audit history but provides no when-to-use guidance, no prerequisites, and no mention of alternatives such as list_pending_actions. An agent must infer the usage context from the tool name and brief purpose.

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 behavioral disclosure burden. It states that the tool lists values, implying a read-only operation, but fails to define 'recent,' explain the count/form defaults, or describe the output. No rate limits, auth requirements, or edge cases are mentioned.

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?

At just two sentences, the description is exceptionally lean and starts with the core action. The supported-metrics list is useful and placed toward the end, minimizing distraction. No unnecessary filler 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?

For a tool with four parameters, no output schema, and no annotations, the description is severely incomplete. It does not clarify that periods are being returned, what cik should be, which forms are valid, or what 'recent' means. An agent would struggle to know what to pass for three of the four parameters.

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 only enumerates valid values for the metric parameter; cik, form, and count are left completely unexplained. This is insufficient for an agent to construct valid arguments reliably.

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 'List recent SEC values for a supported financial metric,' which is a specific verb-resource pairing. The explicit list of supported metrics helps disambiguate from broader financial tools, though it doesn't explicitly differentiate from siblings like compare_financials.

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 guidance is given about when to use this tool versus alternatives such as compare_financials or search_company. The only usage hint is the supported metrics list, which implies eligibility but provides no exclusions or selection 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?

With no annotations, the description carries the burden of behavioral disclosure. It clearly indicates a read-only listing of pending actions, but it does not disclose additional behavioral details such as sorting, ordering, or whether the list is scoped to the current user. This is 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?

The description is a single, front-loaded sentence with no filler. Every word adds meaning, and it is immediately actionable.

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 no parameters and an output schema exists, the description is largely complete. It lacks explicit routing to sibling tools or caveats, but the simplicity of the tool makes this a minor 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 tool has zero parameters, so parameter documentation is not needed. The description adds no parameter semantics, but the input schema is empty, so there is nothing missing.

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 ('List') and resource ('actions waiting for explicit user approval'), making the tool's purpose clear. It does not explicitly name sibling tools, but the phrase 'waiting for explicit user approval' distinguishes it from resolve_approval and guarded_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?

The description gives clear context for when to use the tool: when a user wants to see actions that require explicit approval. It does not explicitly exclude alternatives like resolve_approval or list_audit_events, so it falls short of a 5.

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 states the operation type but does not disclose what happens after approval or rejection, whether the action executes, whether the resolution is reversible, or what permission or auditing side effects may occur.

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, containing no filler or redundant information, and the core action is front-loaded in a single short sentence.

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 simple, but with no annotations and no output schema, the description still leaves important context unresolved: what a 'guarded action' is, what happens after resolution, and what the return value or error behavior looks like.

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 compensate by explaining the parameters. 'approve' is partially self-explanatory from the verb, but approval_id receives no semantic context such as where it comes from or what format it follows.

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 ('approve or reject') with a clear resource ('one pending guarded action'), and it is immediately distinguishable from siblings like list_pending_actions, which handles listing rather than resolving.

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 used to resolve a pending guarded action, which suggests pairing with list_pending_actions, but it does not explicitly state when to use this tool versus alternatives or mention any prerequisites such as obtaining an approval_id 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?

The description clearly frames the tool as a measurement/evaluation action rather than a data-mutating one, which is a useful behavioral signal. With no annotations, though, it does not disclose possible runtime cost, side effects, or what running a benchmark may do to the system.

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 compact sentence that front-loads the action and object. There is no filler, redundancy, or unnecessary detail.

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 zero-parameter tool, the description is mostly sufficient to decide whether to invoke it, and it clearly states what is being measured. However, there is no output schema and the description does not disclose what the benchmark returns, such as a report, pass/fail results, or metrics, which an agent would need to interpret the outcome.

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 tool has zero parameters, so there is no parameter-semantics burden on the description. The schema already covers 100% of the parameter surface, and the description appropriately treats this as a parameterless 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 names a specific verb ('Measure'), a specific resource ('Guardian correctness and decision latency'), and a context ('adversarial cases'), which clearly distinguishes this as a benchmark/evaluation tool. Even without a title, an agent can infer its role relative to the action/list sibling 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 description implies this is for evaluating Guardian on adversarial cases, and the tool name reinforces the benchmarking intent. However, it does not explicitly state when to prefer this over alternatives like evaluate_tool_call or guarded_action, and it offers no prerequisites or environment expectations.

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 communicates a basic lookup but does not say whether matching is exact or partial, whether multiple results can be returned, or what the limit parameter affects. This could lead an agent to expect a single unique result.

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 no filler. Every word contributes to the tool's purpose and input modes, making it easy for an agent to scan quickly.

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 presumably covers return values, and the description covers the primary query semantics. Still, with no annotations, the definition lacks guidance on search behavior such as partial matches, multiple candidates, and the meaning of the limit parameter. It is adequate but leaves meaningful 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%, so the description must compensate. It does add important meaning by explaining that the query parameter accepts a name or ticker. However, it says nothing about the limit parameter, though the limit name and default make its purpose partially inferable.

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 a specific verb ('Find'), a concrete resource ('public company and its SEC CIK'), and the accepted inputs ('name or ticker'). This clearly differentiates it from the sibling tools, which are about actions, approvals, metrics, and comparisons.

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 clear context: use this tool when you need to resolve a company name or ticker to a public company and its CIK. It does not explicitly mention alternatives or exclusions, but no sibling tool overlaps directly with this lookup purpose.

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