GitHub MCP Server

get_tag

Retrieve annotated tag details from GitHub repositories using the tag's SHA to access metadata and commit information.

Instructions

Get an annotated tag object by its SHA. Only works for annotated tags, not lightweight tags.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "owner": "<owner>",
      "repo": "<repo>",
      "tag_sha": "<tag_sha>"
    },
    "name": "get_tag"
  }
}

Input Schema

Name	Required	Description
`owner`	Yes	Repository owner
`repo`	Yes	Repository name
`tag_sha`	Yes	Tag object SHA

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Mar 8, 2026

TDQS

A4.2/5.0

Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool is read-only (implied by 'Get') and specifies it only works for annotated tags, which is useful behavioral context. However, it doesn't mention error handling, authentication needs, rate limits, or response format details, leaving gaps for a tool with no annotation coverage.

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 two concise sentences with zero waste. The first sentence states the purpose, and the second provides critical usage guidance. It's front-loaded and appropriately sized for the tool's complexity.

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

Completeness4/5

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

Given the tool has an output schema (which handles return values), 100% schema coverage, and no annotations, the description is mostly complete. It clearly defines purpose and usage constraints. However, for a tool with no annotations, it could benefit from mentioning authentication or error scenarios to be fully comprehensive.

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 100%, so the schema already documents all three parameters (owner, repo, tag_sha) with descriptions. The description doesn't add any parameter-specific details beyond what the schema provides, such as format examples or constraints. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose5/5

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

The description clearly states the specific action ('Get an annotated tag object') and resource ('by its SHA'), distinguishing it from sibling tools like 'list_tags' (which lists tags) and 'get_release_by_tag' (which deals with releases). It explicitly differentiates from lightweight tags, showing precise scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

The description provides explicit usage guidance: 'Only works for annotated tags, not lightweight tags.' This tells the agent when not to use this tool and implies alternatives (e.g., other tools for lightweight tags or general tag listing). It clearly defines the tool's applicability context.

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

Deploy Server