SrcLog

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuine value by disclosing the shape of the result (profile, totals, rankings, top repos) rather than just 'gets an owner'. It says nothing about pagination behavior despite page/per_page existing, nor about failure modes for unknown logins, which keeps it at a solid-but-not-rich 3.

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 that names the entity and its returned content with zero filler. Nothing redundant or buried.

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 output schema, the description does the necessary work of telling the agent what comes back, and the schema handles inputs fully. The remaining gap is routing: an agent choosing among get_repo, top_developers and this tool gets no disambiguation, which for a six-sibling namespace is a real omission.

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% — login, page and per_page are all documented in the schema with examples and defaults. The description adds no additional meaning about the parameters (e.g. whether per_page governs only the repository list), 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?

The description names the resource precisely (a GitHub user or organization) and enumerates the payload an agent will get back: profile, totals, ranking positions and most-starred repositories. That is far more informative than the title alone. It stops short of differentiating from siblings such as top_developers or get_repo, so an agent must infer the boundary.

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 statement of when to reach for this tool versus get_repo, top_developers, or search_repos, and no preconditions mentioned (e.g. login must be an existing account, organization vs user both accepted). Usage is only implied by the noun phrase 'of a GitHub user or organization'.

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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the set of fields returned, which is genuinely useful given there is no output schema, but says nothing about failure behavior for unknown repo names or how fresh the data is.

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 dense sentence-fragment with the resource front-loaded and no filler. It lacks a verb, which makes it slightly less self-explanatory than it could be for the same length.

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 tool with no output schema, enumerating the returned fields fills most of the gap, and annotations cover the safety profile. Only error/edge behavior for nonexistent repos is left unaddressed.

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?

One parameter with 100% schema description coverage, including the exact 'owner/name' format and an example, so the schema does the work. The description adds no meaning beyond it, which is the baseline-3 case.

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 the resource (one repository) and enumerates the data it returns (stars, forks, language, license, topics, SrcLog score, dates, links), which clearly separates it from list-oriented siblings like search_repos and topic_repos. It never says explicitly that it takes a single known repo identifier, but 'one repository' carries that meaning.

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, and no mention of alternatives such as search_repos for finding a repo or get_owner for owner-level data. The single-entity framing is the only implied usage signal.

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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds only the field list of the response, with no note on ordering, pagination, or whether the list is exhaustive or scoped to a curated set, so it earns a modest 3.

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 compact fragment with zero filler, and the returned fields are front-loaded. It is close to minimal, though a few more words on scope would not have hurt.

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 parameters and no output schema, the description carries the burden of describing the return shape, and it does (slug, title, description). The omission of any indication of list size, ordering, or filtering is a small residual gap for such a simple tool.

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 takes zero parameters, so the baseline is 4. The description correctly signals that the call needs no input by describing a complete, argument-free listing.

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 the resource (curated topics) and the fields returned (slug, title, description), which lets an agent distinguish it from the repo-oriented siblings such as topic_repos. The verb is only implied by the tool name rather than stated, so it falls short of a full verb+resource statement.

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 offers no guidance on when to use this tool versus topic_repos or search_repos, and does not mention any prerequisites or exclusions. An agent must infer the routing from the names 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?

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds a genuinely useful behavioral detail beyond them: results come from hybrid keyword + semantic matching, which tells the agent results may not be exact literal matches. It omits pagination/result-size behavior, but the schema covers that.

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, front-loaded with the verb and resource, with filters trailing. Nothing redundant or padded.

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 7-parameter search tool with no output schema, the description covers the primary filters but leaves the sort enum, pagination behavior and what a result contains unexplained. Adequate to start a call, not complete enough to call optimally.

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 71%, so the schema does most of the work (examples for query, topic, language, defaults for page/per_page). The description restates language, topic and star filtering but adds no meaning beyond the schema, and says nothing about sort, which is the only enum 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 gives a specific verb (search) and resource (open-source GitHub repositories) plus the mechanism (hybrid keyword + semantic). It only implicitly distinguishes itself from siblings like similar_repos and topic_repos, so an agent must infer that this is the keyword-entry point rather than a discovery tool.

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 implied by 'search by keywords' and the optional filters, but no sentence says when to prefer this over topic_repos or similar_repos. The agent must infer the routing decision from the sibling names 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds the key behavioral trait that results are ranked by semantic similarity rather than keyword match, but says nothing about ordering, how similarity is computed, or what the results contain.

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 clause with zero waste; the qualifier 'semantically similar' does real work in distinguishing this from a generic search.

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 only two well-documented parameters and annotations covering the safety profile, the essentials are present. However, there is no output schema, so the description would ideally indicate what a result entry looks like and whether results are ordered by similarity.

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% — the repo format ('laravel/framework') and limit bounds/default are fully documented in the schema. The description adds no parameter-level information, 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?

Names the resource (repositories) and the relation (semantically similar to a given repo), with an added use-case gloss ('finding alternatives'). It is clear but stops short of stating the operation explicitly (list/return) or naming how it differs from search_repos.

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?

'Useful for finding alternatives' implies the discovery use case but gives no explicit when-not conditions and does not name search_repos as the sibling to pick when you want keyword matching instead of semantic similarity.

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 annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description is not obligated to repeat it. Beyond that the description adds little behavior: no mention of ordering direction, how ties are handled, pagination limits beyond the schema, or what a result entry looks like. Adequate but thin for a read tool whose main quirks are ranking semantics.

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 zero filler; every clause (resource, ranking metric, optional filters) carries information. Nothing is repeated or padded.

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 output schema, the description should indicate the shape of a ranked entry (owner login, star/fork counts, position) since an agent must interpret results. It also omits the default sort and the default type behavior, leaving the caller to infer from the schema. Complete enough to invoke, not complete enough to interpret results 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 coverage is 83%, so most parameters are already documented in the schema (page, per_page, type, country, language). The description only re-states the sortable metrics that the sort enum already enumerates and echoes language/country filtering, adding no syntax or default-value detail the schema lacks. 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 names the resource (GitHub developers or organizations) and the ranking metric (total stars, or forks/watchers/repos), with the optional language and country scoping. That is specific enough to distinguish it from the sibling tools (get_owner, search_repos, similar_repos), none of which produce a leaderboard. It stops short of an explicit verb, which keeps it from 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 word "Ranking" implies a leaderboard/listing use case, and the filters suggest browsing by language or country, but there is no statement of when to choose this over search_repos or get_owner, and no prerequisites or exclusions. Usage is implied rather than specified.

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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds only the sort order (most-starred) as behavioral context; it says nothing about pagination limits, result caps, or behavior for unknown/empty topics, though the schema partly covers paging.

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 zero filler; the sort order leads and the resource is unambiguous. It is efficient rather than padded, though its terseness is what leaves the routing gaps noted above.

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 3 simple params at full schema coverage, no output schema, and read-only annotations, the essentials to call it are present. But for a browse-by-topic tool sitting next to search_repos and similar_repos, the definition never explains how the result set differs, which is the main thing an agent needs.

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% with clear slug examples and page/per_page defaults, so the schema carries parameter meaning. The description adds nothing beyond reusing the word 'topic', making the baseline 3 appropriate.

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 the resource (repositories), the filter (tagged with a topic) and the ordering (most-starred), so the agent knows exactly what comes back. It does not distinguish itself from siblings like search_repos or similar_repos, which also return repositories, leaving ambiguity about which to pick.

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 when-to-use guidance and no mention of alternatives, despite three sibling tools (search_repos, similar_repos, get_repo) operating on the same resource. The agent must infer from the name alone that this is the browse-by-topic path rather than the search path.

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