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ETag shape, value discarded

github-repo-shape

Parse owner and repo from a GitHub URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, and the description only mentions 'Parse', which implies a pure read-only operation but gives no details about error handling, edge cases, or effects on the system. The tool's behavior beyond the basic parsing action is not disclosed.

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

Conciseness5/5

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

The description is a single, short sentence that directly states the tool's function. It is front-loaded with the action and object, contains no filler or redundancy, and is easy to parse quickly.

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

Completeness2/5

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

The description omits essential context such as the output format, whether any parameters are required, how the tool handles malformed or non-GitHub URLs, and what the returned owner/repo structure looks like. With no output schema and minimal description, an agent lacks sufficient detail to confidently integrate the tool.

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

Parameters1/5

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

Although schema coverage is 100%, most parameter descriptions are clearly copied from unrelated tools (e.g., 'City name for a public weather hint', 'JSON text to validate', 'IANA timezone name') and do not apply to parsing a GitHub repo. Only 'url' and possibly 'ref' are plausibly relevant, but their descriptions ('HTTPS URL to normalize or cite' and 'Git ref name; discarded after the shape check') are generic and not GitHub-specific. This is actively misleading.

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?

The description clearly states the action ('Parse') and the resource ('owner and repo from a GitHub URL'), making the tool's core purpose immediately understandable. However, it does not explicitly differentiate itself from sibling URL-related tools like normalize-url or domain-shape, though the GitHub-specific focus provides some distinction.

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?

No guidance is given on when to use this tool versus alternatives such as normalize-url or fetch-status. The description implies a parsing task but does not specify expected input formats, whether the URL is required, or what kind of GitHub URLs are supported, leaving the agent to infer usage conditions.

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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