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Flickr MCP Server and API by Cotlet

Reply to comment in Flickr

flickr_reply_to_comment
Read-onlyIdempotent

Reply to comment in the user's own Flickr account from ChatGPT, Claude or any AI agent. Returns how to do it in Flickr step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Flickr Cloud Browser. Flickr's official API: Flickr has a full REST API with methods for photos, albums, comments, groups and uploads, but no official MCP server (checked 17 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "flickr_reply_to_comment"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, closed-world, and the description stays consistent, adding that nothing is opened or changed. It further discloses the return shape — procedural screens, buttons, and fields — which the annotations cannot express. The note about Flickr's REST API does not add behavioral information about this tool itself.

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?

The operative instructions come first, which is good, but the closing sentence about Flickr's REST API and 'no official MCP server (checked 17 Oct 2026)' is justification copy that does not help the agent select or call the tool. The first sentence is also overloaded, bundling audience ('ChatGPT, Claude or any AI agent') and the non-action guarantee into one long clause.

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 zero-parameter instruction-returning tool with no output schema, the definition covers what it returns and what it deliberately does not do. Minor omissions: it doesn't say whether a call consumes credits (relevant given the cotlet_balance sibling) or what the agent should do if no browser session exists yet.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The absence of any argument for which comment to reply to is worth flagging, but it is a schema design issue rather than a description gap.

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 names a specific verb and resource (reply to a comment on Flickr) and, crucially, reframes the tool as a step-by-step guide rather than an actor: 'Returns how to do it in Flickr step by step (screens, buttons, fields) and opens nothing by itself.' That corrects the impression the tool name gives. It stops short of 5 because the name/title still read as a direct action, and the agent has to reconcile 'flickr_reply_to_comment' with 'returns instructions' on its own.

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 states the follow-on path explicitly: 'then do it with the cotlet_browser_* tools in the user's Flickr Cloud Browser,' which routes the agent to the correct sibling family. It also excludes itself as an executor ('opens nothing by itself'). It doesn't say when NOT to call it or what precondition (e.g., an open browser session or an identified comment) is needed.

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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