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List AI PM Lab challenges

list_challenges
Read-onlyIdempotent

The challenges (games scored from real recorded runs, with leaderboards) and what each asks you to do.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
textYesThe answer in markdown, as shown to the user; for the guides, instructions to follow with the user's text
linksYesThe AI PM Lab pages the answer links to, where each idea can be tried hands-on

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": false,
      +  "properties": {
      +    "links": {
      +      "description": "The AI PM Lab pages the answer links to, where each idea can be tried hands-on",
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "text": {
      +      "description": "The answer in markdown, as shown to the user; for the guides, instructions to follow with the user's text",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "text",
      +    "links"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered without description help. The description adds useful context about what the returned data represents (recorded runs, leaderboards), but says nothing about pagination, ordering, or whether the list is exhaustive.

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?

A single short sentence with no filler, and the definition of what a challenge is is front-loaded parenthetically. It reads as a noun fragment rather than a full statement of action, which slightly weakens the framing but wastes no words.

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 read-only listing with an output schema that already documents the return shape, the description supplies the one thing the schema cannot: what a 'challenge' actually is. Only the routing against sibling list tools is missing.

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 there is nothing for the description to clarify; baseline 4 applies. No parameter-level ambiguity is introduced.

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 (challenges = games scored from real recorded runs with leaderboards) and says the listing includes what each challenge asks the agent to do, so the effect of the call is clear. It does not, however, distinguish itself from the nearest sibling (list_experiments), which an agent would need to disambiguate 'list' tools.

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

Usage Guidelines2/5

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

There is no explicit when-to-use statement, no prerequisites, and no mention of alternatives such as list_experiments or replay_experiment. Usage is only weakly implied by the fact that it is a listing tool with no parameters.

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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