Skip to main content
Glama

corpusAI Cloud Pricing

Index board

index_board
Read-onlyIdempotent

Paid (0.10 USDC per call). Every ticker's fixing for one day in one call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dayNoFixing day, YYYY-MM-DD. Default: latest.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive behavior, so the description's addition of per-call cost (0.10 USDC) and the batching promise ('one call') adds valuable behavioral context. It does not explain response format or rate limits, but these are less critical given the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, each carrying essential information: the cost and the scope/batching behavior. No filler or repetition of schema/annotations.

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 one-optional-parameter read-only endpoint, the description plus annotations and schema cover what the agent needs to select and call it: cost, day input, default, and result scope. It stops short of describing the output shape or alternatives, but this is a minor gap for such a simple tool.

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?

The schema already documents the single optional `day` parameter with format and default, so the description need not add much. It adds only the notion of 'one day' without repeating or enhancing the parameter semantics. Baseline 3 is appropriate for 100% schema coverage.

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 states that the tool returns every ticker's fixing for a single day in one call, which is a specific resource and scope. However, it never uses an explicit retrieval verb and relies on the title/siblings to clarify that these are index fixings, so it doesn't fully distinguish itself from index_fixing or index_history.

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

Usage Guidelines3/5

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

The phrase 'every ticker's fixing for one day in one call' implies this is the endpoint to use for a full cross-section of fixings on a single day. It gives no explicit when-to-use/when-not-to-use guidance or named alternatives, leaving the agent to infer routing from sibling names.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources