Medium Blog MCP Server

Overview Schema Source Related Servers Discussions Admin

Approve Research

approve_research

Approves completed research for a blog session, enabling progression to outline generation. Accepts optional feedback to guide subsequent steps.

Instructions

⭐ USER APPROVES research to proceed to outline generation

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": {
      "session_id": "<session_id>"
    },
    "name": "approve_research"
  }
}

Input Schema

Name	Required	Description	Default
`feedback`	No	Optional feedback for outline generation
`session_id`	Yes	Active session ID

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Sep 7, 2026

TDQS

C2.9/5.0

Behavior2/5

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

No annotations are present, and the description only states the intended workflow transition. It does not explain whether the approval is persistent, reversible, or what underlying state changes occur in the session.

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?

The description is very short and contains no unnecessary explanation. The emoji and uppercase wording are stylistic noise, but the core content is concise and direct.

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?

The description is sufficient for a simple approval action but lacks details on side effects, repeatability, or relationship to other workflow steps. It could be more informative about what happens after approval beyond 'proceed to outline generation.'

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?

Param descriptions are provided in the schema, and the description adds no extra meaning beyond stating that feedback is for outline generation. Since schema coverage is effectively full, a baseline score is appropriate.

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 identifies the action (approve research) and its purpose (proceed to outline generation). The verb and object are explicit, though the all-caps and emoji add noise without meaning.

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 provided on when to call this tool versus alternatives like request_more_research or approve_outline. It implies a workflow position but does not state prerequisites or conditions.

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