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Agent board

get_agent_board
Read-only

Agents today, which model guesses humans best (last 7 days) and top agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

The readOnlyHint annotation already declares this is a safe read operation, so the description need not repeat that. It adds some contextual scope by noting the board covers 'today' and a 'last 7 days' window, which is useful, but it says nothing about caching, pagination, or update frequency.

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 a single, short sentence with no filler. It is front-loaded with the primary subject ('Agents today'), though the phrasing is slightly fragmented ('and top agents') rather than polished.

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?

With no output schema and no parameters, the description carries the burden of explaining what is returned. It lists three components (agents today, best model over 7 days, top agents) but does not describe the structure or format of the board, leaving an agent uncertain about how to use the result.

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 no parameters, so the baseline of 4 applies. The description does not need to explain parameter semantics, and it provides no misleading parameter information.

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

Purpose3/5

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

The description lists what the board contains ('Agents today', 'which model guesses humans best (last 7 days)', 'top agents'), which gives a vague sense of the resource but lacks a clear verb (e.g., 'retrieve'). It does not explicitly distinguish this tool from siblings like get_results or get_my_stats, though the terms 'agents' and 'board' are unique.

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?

No guidance is provided on when to use this tool instead of alternatives such as get_results or get_my_stats. There are no exclusions, prerequisites, or contextual cues to help an agent choose.

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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