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

No annotations are supplied, so the description carries the full disclosure burden. It correctly signals a read-only advisory lookup and adds that the tool also returns the latest release and version lag, which is useful extra context, but it says nothing about network dependency, rate limits, caching, or what happens for an unknown/unpublished package version.

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?

Four short lines, each earning its place: purpose and scope first, then the ecosystem vocabulary, then the bonus output, then a worked example. No filler or restatement of the tool name.

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 the description need not detail return values, and it wisely only flags the notable extra fields. The remaining gap is failure behavior (invalid ecosystem, nonexistent version) for a three-required-parameter tool with no annotation coverage.

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 schema declares only bare property titles, so the description is doing real work: it enumerates the accepted ecosystem values (PyPI, npm, crates.io, Go) where the schema has no enum, and the example fixes the positional/argument order name→version. Only 'version' format (exact vs range) is left slightly ambiguous.

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 ('Check one exact package version for known vulnerabilities') and adds the scoping qualifier 'without a lockfile', which separates it in spirit from scan_project and list_outdated. It does not name those siblings explicitly, so the differentiation is implied rather than stated.

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?

'Without a lockfile' and 'one exact package version' imply the usage context (an ad-hoc single-package lookup rather than a project scan), but no alternative tool is named and no when-not-to-use condition is given. An agent must infer that scan_project or list_outdated cover the project-level cases.

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 supplied, so the description must carry behavioral disclosure. It does signal a read-only lookup and names the sections returned, but says nothing about data source/auth needs, network requirements, rate limits, or what happens when the id is unknown or not found.

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 output contents are front-loaded in the first clause and the id format guidance follows, with no filler. The line breaks make the parameter note slightly awkward to parse as prose but nothing is wasted.

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 single-parameter lookup tool with an output schema, so return shape is already covered — and the description still previews what sections come back. The one remaining gap, error behavior on an unknown id, is minor given the schema richness and tool simplicity.

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 schema only declares a bare string "Id", so the description has to compensate — and it does, giving four concrete accepted identifier formats (GHSA-…, CVE-…, PYSEC-…, RUSTSEC-…). That is real added meaning the schema lacks; it could go further on case sensitivity or prefix requirements.

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 object ("Explain one advisory") and enumerates the content produced: summary, severity, affected version ranges, fix, references. That makes it distinguishable from siblings like scan_project and list_outdated, though it never names those siblings explicitly.

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?

Usage is only implied by the singular object "one advisory" — an agent can infer this is the per-advisory deep dive rather than a bulk scan, but there is no statement of when to prefer it over check_package or suggest_fixes, and no prerequisites 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 the burden and does so well: concurrent cached lookups, failed lookups surfaced rather than hidden, and the caveat that transitive packages may be held back by parents' version ranges. Read-only behavior is only implied by 'List' and supported ecosystems are stated, but permissions and request-volume specifics remain unaddressed.

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?

Four tight sentences, front-loaded with what the tool does, then defaults, then caveats. The registry list and the parent-range parenthetical both add decision-relevant information, and nothing is restated from the schema or the name.

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 exists, so return values need not be explained, and the description covers the hard parts of a multi-registry network tool: caching, concurrency, and failure surfacing. It falls short only on the ambiguous 'limit' parameter for a tool whose complexity makes result-count semantics worth one clause.

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, and it fully explains include_transitive (default, cost, parent-range caveat). However, 'limit' (default 40) is never mentioned; an agent cannot tell whether it truncates results or paginates. 'path' is left as a bare string with no indication that it should point at a project root containing lockfiles.

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: 'List packages in a project's lockfiles that are behind their latest release,' and adds scope detail (four named registries, severity labels). It never names a sibling, so an agent must infer on its own that check_package handles single-package lookups and scan_project handles broader scans, which keeps it 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?

Gives useful parameter-level guidance ('By default only direct dependencies are checked; set include_transitive=True for everything') and a cost warning, but never states when to pick this tool over check_package or scan_project. Usage is implied by the word 'lockfiles' rather than spelled out as a routing rule.

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 supplied, so the description carries the full burden and does so well: it declares read-only, caps recursion at 3 levels, skips node_modules/virtualenvs, states result ordering ('worst first') and that advisories are merged (GHSA/PYSEC/CVE) with transitive dependency paths. It omits what happens on an unsupported or unreadable lockfile, whether network access to OSV.dev is required, and any error 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?

Front-loaded with purpose, then input forms, then supported formats, then output shape. The format enumeration is long but earns its place by preventing calls on unsupported files; the paragraph form is slightly dense compared to a bulleted list.

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 2-parameter scan tool with an output schema, the description covers inputs, supported ecosystem coverage, ordering, and dedup/merge behavior thoroughly. The main residual gaps are error handling for unsupported files and any note that the scan requires reaching OSV.dev.

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 compensates strongly for both parameters: `path` is defined as either a directory (with depth/skip rules and a full list of accepted lockfile formats/pin styles) or a single lockfile, and `limit` is explained as capping vulnerable packages listed per lockfile. It still lacks details an agent must guess, such as whether `path` is relative to the working directory or absolute and how non-matching pins in requirements.txt are treated.

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 ('Scan a project's lockfiles for known vulnerabilities') plus the data source (OSV.dev), making it clearly distinct from check_package (single package) and list_outdated (outdated, not vulnerable) among the siblings.

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?

Clearly signals the input scope: a project directory versus a single lockfile, including the recursion depth and skipped directories. It gives the agent a concrete picture of when this tool applies, but never names the alternatives (check_package, list_outdated) or states exclusions explicitly, leaving sibling routing to inference.

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 supplied, the description carries the full burden and does well: it states plainly that the tool never modifies files and only prints a plan, and it discloses that targets are re-checked against OSV so the suggested version is not itself vulnerable. It omits operational context such as network access requirements or behavior when no vulnerabilities exist, which keeps it below a 5.

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?

Front-loaded purpose sentence, then a compact enumeration of exactly what the plan contains, then a closing non-mutation guarantee. Every clause is substantive; the middle sentence is dense but the list structure keeps it scannable.

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 one-parameter, read-only planning tool this covers the important ground: what it produces, that it is safe, and that targets are verified. An output schema exists, so the return-value enumeration is somewhat redundant but harmless. The one genuine hole is the meaning of 'path', which an agent needs before it can call 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 single required parameter is named only 'path'. The description hints that it refers to a project with lockfiles, but never clarifies whether it is a project root, a directory to scan recursively, or a specific lockfile — a meaningful ambiguity given lockfiles may be nested. The schema provides no help, so this gap is fully the description's responsibility.

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 first sentence gives a specific verb and resource: propose a minimal upgrade plan for vulnerabilities in a project's lockfiles. That is clearly distinguishable from scan_project or list_outdated, which detect rather than plan. It stops short of naming any sibling explicitly, so the differentiation is inferred rather than stated.

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?

Usage is only implied: an agent can infer this belongs after a scan, since it consumes detected vulnerabilities and emits remediation. There is no explicit when-to-use, when-not-to-use, or pointer to scan_project/list_outdated/check_package as the preceding or alternative step.

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