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Get model puzzles

get_model_puzzles
Read-only

Which puzzles one model solved, missed, timed out on, or has not run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesModel variant id as listed on the leaderboard, e.g. claude-opus-5.5-high

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes
solvedYes
puzzlesYes
attemptedYes
displayNameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare this a safe read operation (readOnlyHint=true, openWorldHint=false), so the safety profile is covered. The description adds the useful behavioral detail that results are partitioned into solved/missed/timed-out/not-run categories, but says nothing about auth, scope, or cost; with an output schema present, disclosing return values is not required.

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?

One short sentence fragment with zero filler and the key content front-loaded. It is arguably too terse — a verbless clause rather than a call-to-action sentence — which slightly limits how self-explanatory it reads in a tool list.

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?

With an output schema present and the only parameter fully documented in the schema, the description carries little remaining burden. The one gap is routing: it never clarifies how this differs from get_model_results, which matters given how many retrieval siblings exist.

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% and the single 'model' parameter is clearly documented there with an example id format. The description adds no syntax or format detail beyond the schema, which is the expected baseline when the schema does the heavy lifting.

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 (puzzles for one model) and enumerates the outcome buckets returned (solved, missed, timed out, not run), which is more specific than restating the title. It does not, however, distinguish this from the close sibling get_model_results, so an agent cannot tell the two apart from the description alone.

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 when-to-use guidance, no prerequisites, and no mention of alternatives such as get_model_results or get_puzzle_results. The agent must infer from the name alone which of the sibling retrieval tools to call.

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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