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List training proposals

list_training_proposals
Read-onlyIdempotent

Training → Review: guidance learned from closed conversations, knowledge gaps and article drafts, pending ones first. Approve or dismiss them with approve_training_proposal and dismiss_training_proposal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many to return (default 25, at most 200).
statusNoWhich proposals (default pending).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds genuine behavior beyond that: proposals are ordered with pending ones first and their provenance is described (closed conversations, gaps, drafts), which helps the agent interpret results.

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?

Two compact sentences with no wasted words, and the resource definition is front-loaded before the pointer to sibling tools. The 'Training → Review' prefix is slightly cryptic as a navigation hint but costs little.

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 read-only list with no output schema, the description covers what the items are, how they are ordered, and what tool to use to act on them. Only the absence of any note on result volume/pagination (beyond the limit param) 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%, so both limit and the status enum are fully documented in the schema, and 'pending ones first' merely restates the documented default of pending. The description adds no new syntax or filter semantics beyond the schema.

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 the resource (training proposals) and defines what they are — guidance learned from closed conversations, knowledge gaps and article drafts — which meaningfully distinguishes this list from siblings like list_gaps or get_training_overview. The action verb itself is only implied by the title, so it is clear but not fully self-contained.

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 explicitly routes the agent away from this read tool toward approve_training_proposal and dismiss_training_proposal for acting on proposals, and states the ordering (pending first). It does not clarify when to prefer this over get_training_overview or list_gaps, so no exclusions beyond the mutation case.

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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