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Medium: Reply to response

medium_reply_to_response

Medium: Reply as you under a response to your story. Posts a reply under one response, under your name. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesReply text.
response_idYesResponse ID from list_responses.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Annotations only flag it as a non-read-only, open-world write; the description adds the meaningful extras: the reply is posted publicly under the user's own name, per-call confirmation is on by default and configurable, and it requires the user's Cotlet API key with access to this app. That is genuine behavioral context beyond the structured fields.

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

Conciseness3/5

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

Reasonably short, but the confirmation behavior is stated twice in different words ("By default you confirm each call" and "confirm with the user before each call"), which is redundant padding. The opening sentence is also slightly awkwardly phrased but is correctly front-loaded.

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?

For a simple two-parameter mutation with no output schema, the description covers the essentials an agent needs: what gets posted, that it is public, the confirmation requirement, and the credential prerequisite. It does not describe the result of the call, but no output schema exists and this is a minor gap.

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% and both parameters are documented in the schema (body, response_id sourced from list_responses). The description adds nothing about parameter meaning beyond the schema, so the baseline of 3 applies.

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 names a specific verb and resource ("Reply ... under a response to your story") and scopes it to a single response, which cleanly separates it from sibling tools like medium_list_responses, medium_publish_story, or medium_update_story. An agent can tell what it does without opening the schema.

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

Usage Guidelines4/5

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

It provides real operating context: each call is confirmed by default and that can be switched off, and because the reply reaches other people the user should be asked before each call. It does not name alternative tools (e.g. when to use this instead of replying elsewhere), so it stops short of full when/when-not guidance.

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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