Hold two watched repositories against each other across downloads, OpenSSF scorecard, advisories, forks, stars and findings on record. Compares only; it does not pick a winner.
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | Repository as owner/name. | |
| b | Yes | Repository as owner/name. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It adds valuable context: it only compares, does not pick a winner, and reports on specific dimensions. This implies a read-only, non-decisional operation. It does not explicitly state side effects or error behavior, but the 'compares only' phrasing is a meaningful boundary.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: two sentences, the first states the core purpose with specific examples of compared metrics, the second clarifies a key boundary ('does not pick a winner'). Every word earns its place; there is 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 comparison tool with no output schema, the description covers the essential context: what it compares, the scope (watched repos), and the non-decisional nature. It lacks details on return format or failure cases, but given the tool's simplicity and the listed metrics, it is reasonably 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?
The schema already provides full descriptions for both parameters (owner/name format), so the baseline is 3. The description adds the 'watched' constraint, which is useful context but does not alter the parameter format or semantics significantly.
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 purpose: comparing two watched repositories across specific dimensions (downloads, OpenSSF scorecard, advisories, forks, stars, findings). It distinguishes itself from sibling tools by being the only comparative tool and explicitly clarifies it does not pick a winner, leaving no ambiguity about its role.
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: comparing two watched repositories. The qualifier 'watched' is a clear prerequisite. However, it does not explicitly mention when not to use this tool or suggest alternative tools, such as check_package, which could be relevant for single-repository analysis.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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Each tool targets a distinct query type: package status, stack review, provider incidents, model pricing, watchlist changes, etc. Even similar-sounding tools like check_package and check_stack are clearly differentiated by granularity (single package vs. whole manifest). The descriptions further remove ambiguity.
All names use lowercase snake_case, but the pattern is mixed: some are imperative verb_noun (check_package, find_model, watch_add) while many are noun phrases (advisory_severity, provider_incidents, runtime_deadlines). This is readable but not a consistent verb_noun style, so there is noticeable inconsistency.
At 31 tools, the count exceeds the 'too many' threshold (25+). While the domain is broad, the agent must navigate a large surface with many similarly scoped utilities, making selection harder. A more consolidated set (e.g., grouping related readings) would improve appropriateness.
The tool surface covers a wide range of supply-chain intelligence: package advisories, provider status, model pricing, runtime EOL, and watchlist changes. The only notable gap is lifecycle management for the private watchlist (e.g., no watch_remove or watch_list), but the overall coverage is strong.