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Qiita MCP Server

Qiita MCP Server

by sunu-py-jp
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

delete_access_token

Revoke a Qiita API access token to invalidate it and prevent further use for authentication.

Instructions

Revoke an access token

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": {
      "access_token": "<access_token>"
    },
    "name": "delete_access_token"
  }
}

Input Schema

NameRequiredDescriptionDefault
access_tokenYesAccess token to revoke

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Revoke' implies a destructive, irreversible action, but the description doesn't specify permission requirements, rate limits, or what happens to systems using the token. For a mutation tool with zero annotation coverage, this is a significant gap in safety and operational context.

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, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it immediately scannable and appropriately sized for a simple tool with one parameter.

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 destructive tool with no annotations and no output schema, the description is incomplete. It lacks critical context: what permissions are needed, whether the action is reversible, what systems might be affected, and what the response contains. Given the tool's potential impact, more behavioral and safety information is warranted.

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%, with the single parameter 'access_token' documented as 'Access token to revoke'. The description adds no additional meaning beyond this, such as token format or source. With high schema coverage, the baseline score of 3 is appropriate as the schema handles parameter documentation adequately.

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 'Revoke an access token' clearly states the verb ('revoke') and resource ('access token'), making the tool's purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'delete_team_access_token' or 'create_access_token', which would require specifying scope or contrasting with creation operations.

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 description provides no guidance on when to use this tool versus alternatives like 'delete_team_access_token' or what happens after revocation. It mentions neither prerequisites (e.g., needing admin rights) nor consequences (e.g., token becomes unusable), leaving the agent without contextual usage cues.

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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