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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

B3.2/5.0
Behavior3/5

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

With no annotations and no output schema, the description carries the behavioral burden: it correctly indicates a parse/transform operation and a GitHub URL input. However, it does not disclose the return shape, invalid-URL behavior, or confirm that only the `url` parameter is relevant. There is no contradiction with annotations because no annotations exist.

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 front-loaded sentence with no filler: it names the verb, the resource, and the input domain. Every word contributes to the meaning, and it is appropriately sized for a simple parse tool.

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?

For a tool with many optional parameters and no required ones, the description plus schema leaves real ambiguity about which parameter to populate and what the tool returns. The `url` parameter description, 'HTTPS URL to normalize or cite,' does not clearly identify it as the required GitHub URL. An output schema or a sentence naming the `url` parameter and the returned owner/repo fields would be needed.

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?

The schema provides 100% per-parameter descriptions, so the baseline is 3. The main description adds the important 'GitHub' qualifier, but it never names which parameter should hold the URL, forcing the agent to infer `url` from its name. The many discard-after-use parameters are individually described but not related to the GitHub-repo purpose.

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 states a specific operation ('Parse owner and repo') and a specific resource ('a GitHub URL'), so an agent can tell this tool extracts GitHub repository identity. It is not tautological and is reasonably distinguishable from siblings like normalize-url or domain-shape. However, it does not explicitly contrast itself with those siblings, so it stops short of full differentiation.

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?

There is no guidance on when to use this tool versus alternatives such as normalize-url, domain-shape, or figma-url-shape. The description implies 'use when you need owner/repo from a GitHub URL,' but it does not state when not to use it, prerequisites, or fallback options. This leaves the agent to infer the selection criteria.

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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