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. 'Fetches' implies a read-only operation and 'recent' suggests a time-bounded result, but there is no disclosure of auth requirements, rate limits, pagination, or return shape.

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?

One sentence, front-loaded with the operation and scope, and the use-case clause earns its place by clarifying intent. No redundancy or filler.

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 two-parameter read tool, the description covers purpose, scope, and key diagnostic use cases, and the schema documents all parameters. It lacks return format and pagination details, but with no output schema and no annotations those are minor gaps for this 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?

Schema coverage is 100%, and both parameters have descriptions (namespace, limit default 50). The tool description does not add syntax, format, or constraints beyond what the schema already provides, so baseline 3 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?

States a specific verb (Fetches) and resource (Kubernetes events) scoped to a namespace, and the use cases (deployment failures, OOMKills, scheduling) make its role distinct from sibling tools like get_prometheus-metrics or search_logs.

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?

Gives clear context for when the tool is useful—correlating deployment failures, OOMKills, and pod scheduling issues—but does not name alternatives or state 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, so the description carries the full behavioral burden. It does not disclose the window of 'recent', pagination, rate limits (GitHub API), authentication requirements, or output shape. Read-only intent is implied by 'Fetches' but nothing more.

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 with the primary action front-loaded and the optional filters noted second. Nothing redundant.

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 list-fetch tool with no annotations and no output schema, the description should clarify the time window, volume, and return format. None of that is present, leaving key invocation context missing.

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% and already documents both parameters with examples and an enum. The description only restates that filtering is optional, adding no syntax or default-window details 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?

Clear verb 'Fetches' and resource 'status of recent CI/CD pipeline runs' with source 'GitHub Actions'. Siblings are all unrelated monitoring/security tools, so no differentiation is needed, but 'recent' is vague without a defined 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?

Hints that branch and status filters are optional and that omitting them returns recent runs, but gives no guidance on when to use this versus any monitoring sibling (e.g., prometheus metrics, k8s events) or 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 provided, so the description must carry the full behavioral burden. It implies a read-only fetch but does not disclose auth requirements, rate limits, return format, or side effects. This minimal disclosure is a 2.

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?

One sentence, front-loaded with the action and resource. The trailing 'specifically' clause is slightly misleading given the broader enum, but otherwise there is no waste. A 4 reflects the minor inaccuracy.

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 read-only metrics fetch with no annotations and no output schema, the description should clarify output shape or usage boundaries. It covers purpose and metric types but omits behavioral and output details. A 3 is appropriate given the tool's simplicity and complete parameter 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 coverage is 100%, so all three parameters are documented in the schema. The description adds no syntax, format, or default information beyond what the schema provides, and its 'specifically' clause conflicts slightly with the metricType enum. Baseline 3 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?

The description states a specific verb (Fetches) and resource (Prometheus metrics), and adds the analysis context (SLI/SLO). It does not explicitly differentiate from sibling tools, so it falls short of a 5. The clause 'specifically error rates and latency spikes' slightly undersells the cpu/memory enum values but the core purpose is 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?

It gives a clear context ('for SLI/SLO analysis') but does not name alternatives or state when not to use it. No prerequisites or exclusions are provided. This is clear context without routing guidance, matching a 4.

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. 'Scans' hints at a read-only operation but this is never stated, nor is the scan scope (which files/ecosystems), whether network access or a vulnerability database is used, how long it takes, or that it only reports and does not remediate.

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 short sentences, front-loaded with the core action. The second sentence largely restates the schema parameter, which is mild redundancy but it costs no comprehension.

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-optional-param tool with no annotations and no output schema, the description is minimally viable but leaves scope undefined: it never says which dependency sources are scanned or what the result contains. An agent could invoke it, but with unclear 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?

Schema coverage is 100% and the single enum parameter is fully documented in the schema, so the baseline is 3. The description's mention of a 'minimum severity threshold' mirrors the schema rather than adding bounds or semantics beyond 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?

States a specific verb and resource ('Scans project dependencies') plus the outcome ('for known vulnerabilities'), which is clear and distinguishable from the sibling triage_vulnerabilities. It does not explicitly name or contrast with any sibling, so it falls short of a 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?

The only guidance is about the optional filter, which is parameter usage rather than when-to-use. It never says when to scan vs. when to triage_vulnerabilities, nor any prerequisites (e.g., a manifest/lockfile must exist, run before triage).

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 full burden. It partially discharges this by disclosing the return payload shape (log entries with timestamps and trace IDs), but says nothing about result volume, pagination/limits, time-range scoping, or whether the search is unbounded — notable since there is no time-range parameter at all.

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, zero filler, and the purpose is front-loaded before the return summary. Every clause 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?

For a 3-param read tool with no output schema and no annotations, the description is adequate but thin: it covers purpose and return fields but omits result limits, time scoping, and any routing against the sibling observability tools that could query overlapping data.

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 100%, so each of the three parameters is already documented in the schema. The description merely restates the same three filters (service, level, keyword) without adding format, matching semantics, or default behavior, so the baseline 3 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?

States a specific verb (searches) and resource (application logs) plus the three filter dimensions. It is clearly distinguishable from the metric/event/vulnerability siblings, though it never explicitly contrasts itself with get_prometheus_metrics or get_kubernetes-events, which are the nearest adjacent observability 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 when-to-use or when-not-to-use guidance is given. The description never says when log search is preferable to the sibling observability tools (metrics, kubernetes events) or what prerequisites exist, leaving the agent to infer usage purely from the name.

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 carry the behavioral load; it does disclose that results come back ranked by severity, which is genuine behavioral value. However, it omits default filtering behavior (are resolved/ignored CVEs included by default?), pagination/result limits, and permission requirements for a security-sensitive board.

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, zero waste, front-loaded with the core action and return shape followed by the optional refinement. Nothing redundant.

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 read tool with two optional enum parameters and no output schema, the description covers what it does and what it returns. It would be stronger with default-filter behavior and result-set size expectations, but it is close to 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 100% and both parameters are enum-constrained, so the schema already documents them fully. The description adds no formatting or default-value detail beyond 'filter by severity or status' — the baseline 3 for schema-covered 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?

States a specific verb (Queries) and resource (vulnerability tracking board), and names the return payload (CVEs ranked by severity). No sibling tool overlaps this domain, so no differentiation burden is required.

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 says the filters are optional, implying the tool is used for broad vulnerability triage, but it gives no explicit when-to-use/when-not guidance and no mention of which sibling tools might be preferred for adjacent tasks.

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