Skip to main content
Glama
osick
by osick

get_playground_problem_set

Retrieve all problems from a specific playground problem set without pagination. Returns equation or Lean problem data based on competition type.

Instructions

Get every problem in one Playground problem set (not paginated).

Scope: playground.read. Row shape depends on competition kind: equation problems (index, equation1, equation2, goldAnswer) for cheatsheet competitions, Lean problems (id, lhsName, lhsText, rhsName, rhsText, isCustom) for solver-participation competitions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
competition_idYes
problem_set_idYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the non-paginated behavior and row shape varying by competition kind, which is helpful. However, it lacks details on potential size limits, error handling, or whether the operation is read-only (implied but not explicit).

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?

The description is concise, with two clear sentences. The first sentence front-loads the core purpose and constraint. The second adds useful output shape info, though it is somewhat dense. It is not overly verbose.

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?

Given no output schema, the description explains row shape for different competition kinds, which adds value. However, it omits ordering, defaults, and error conditions. For a simple retrieval tool, it is adequate but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add meaning. It does not describe the two required parameters (competition_id, problem_set_id) beyond their names, omitting format, source, or constraints. This is insufficient for a tool with two required parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Get every problem in one Playground problem set (not paginated)', specifying the verb, resource, and a key constraint. This distinguishes it from sibling tools like list_playground_problem_sets, which lists sets rather than problems.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, typical use cases, or exclusions. The mention of 'Scope: playground.read' hints at auth but does not clarify usage context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/osick/SAIRmcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server