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Productboard MCP Server and API by Cotlet

Link feedback to a feature in Productboard

productboard_link_feedback_to_a_feature
Read-onlyIdempotent

Link feedback to a feature in the user's own Productboard account from ChatGPT, Claude or any AI agent. Returns how to do it in Productboard step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Productboard Cloud Browser. Productboard's official API: Productboard has a full REST API v2 for notes, entities, teams, members, webhooks and analytics, and a beta MCP server at mcp.productboard.com that works on specs (checked 22 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": "productboard_link_feedback_to_a_feature"
  }
}

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?

The annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description still adds real value by disclosing the return shape (screens, buttons, fields) and, crucially, that the tool performs no side effects and must be followed by browser automation. That is behavioral context the annotations alone cannot convey. It stops short of describing limits such as what happens if the user's session or plan lacks the feature, and the closing API/MCP note is informational rather than behavioral.

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 first two sentences are front-loaded and earn their place: capability, return value, no side effects, and the required follow-up tool family. The trailing sentence about Productboard's REST API v2 and beta MCP server is tangential to invoking this tool and reads as background filler, diluting an otherwise tight definition.

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 tool with a full annotation set and no output schema, the definition covers what it returns and how to complete the task with browser tools, which is the core need. The remaining gap is the parameterless contract: nothing says how the target feedback and target feature are communicated, which matters for a linking task. The dated API footnote adds noise rather than completeness.

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 tool takes zero parameters, so the baseline of 4 applies. Nothing in the description purports to explain parameters, and the schema is empty with additionalProperties false, so there is no semantic gap to fill. The only unaddressed question is how the agent conveys which feedback and which feature are meant, given the parameterless signature.

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?

Names a specific verb and resource ("Link feedback to a feature in the user's own Productboard account") and then corrects the natural assumption by stating it "Returns how to do it in Productboard step by step (screens, buttons, fields)". That correction is essential because the name implies the linkage itself is performed. It does not distinguish the tool from siblings such as productboard_add_feedback or productboard_mark_feedback_processed, which an agent could easily confuse with a linking action.

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?

Gives a clear two-step workflow: call this to obtain step-by-step guidance, then "do it with the cotlet_browser_* tools in the user's Productboard Cloud Browser". The clause "opens nothing by itself" tells the agent not to expect the link to be created here. There are no explicit exclusions versus the native Productboard sibling tools (add_feedback, mark_feedback_processed), which would have earned a 5.

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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