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top_listings
Read-onlyIdempotent

The most-starred listings of a kind (public GitHub stars), or the fastest-growing since launch (stars per day since the repository was created). Optional category. Stars measure attention, not quality.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
byNostars
kindYes
limitNo
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already establish readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds useful framing: stars are public GitHub data, 'pace' is defined as stars per day since repo creation, and the caveat that stars measure attention rather than quality. It still says nothing about return shape, ordering ties, or how the limit interacts with results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short, front-loaded sentences: the core definition first, then the optional filter, then an interpretive caveat. Every sentence earns its place, though the sentence fragments ('Optional category.') read as notes rather than polished guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and four parameters at 0% coverage, the description should say what a result row looks like and how it connects to get_listing or compare_listings. It covers the metric semantics well but leaves the return format and result identifiers unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry weight. It does define the two 'by' values in prose (star count vs stars-per-day pace) and alludes to kind and category, but 'limit' is never mentioned and 'kind'/'category' are only gestured at rather than explained against their enums.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific ranking resource (most-starred or fastest-growing listings) and the metric basis for each mode, so the agent knows exactly what is produced. It does not name or differentiate itself from siblings like compare_listings or new_listings, which is the only thing keeping 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.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The two ranking modes imply when each is useful, but there is no explicit when-to-use guidance and no routing to alternatives such as new_listings or compare_listings. 'Optional category' hints at filtering but never states the condition for using it.

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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