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JTreadwell1

ProdPad MCP Server

by JTreadwell1

List ProdPad Feedback

prodpad_list_feedback
Read-onlyIdempotent

List feedback items from ProdPad with optional filters for state, company, product, tags, and linked ideas. Supports pagination.

Instructions

List feedback in ProdPad with optional filters and pagination.

Args:

  • page (number): Page number, default 1

  • size (number): Items per page, default 25

  • state (string): active, unsorted, archived, or all

  • company (string): Filter by company name

  • product (string): Filter by product ID

  • tags (string): Comma-separated tag IDs (OR logic)

  • has_ideas (boolean): Filter to feedback with/without linked ideas

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-based)
sizeNoItems per page (max 100)
tagsNoComma-separated tag IDs to filter by (OR logic)
stateNoFilter by feedback state (default: active)
companyNoFilter by company name
productNoFilter by product UUID or ID
has_ideasNoFilter to feedback linked (or not) to ideas

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered structurally. The description adds the OR-logic for tags and the enum semantics for state, which is useful. But it doesn't clarify pagination edge cases, total counts, or return shape. With annotations carrying the safety burden, a 3 is appropriate.

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?

Single front-loaded sentence followed by a compact args list. Efficient and easy to scan. The args list duplicates schema information to some degree, but the structure remains clear.

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?

For a 7-parameter list tool with no output schema, the definition covers filters and pagination, which is adequate for invocation. But with no output schema, the description should ideally note the return structure or pagination metadata. It is a minimum viable definition.

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%, so the schema already documents each parameter. The description largely repeats the schema's parameter documentation. Only minor additions: explicit defaults in prose and 'OR logic' for tags, which the schema also states. Baseline 3 applies when schema already documents everything.

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?

States a specific verb+resource ('List feedback in ProdPad') with scope (optional filters and pagination). However, it does not differentiate itself from the sibling prodpad_get_feedback or prodpad_search, so an agent must infer the distinction between 'list' and 'get/search'.

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

Usage Guidelines3/5

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

The description implies usage through its filters, but never states when to use this tool versus alternatives such as prodpad_get_feedback (single item) or prodpad_search. No explicit when-not guidance is provided.

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