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get_grid

GET /: the grid the API key opens: its name and its limit on items, max_items (queries included; null: no limit).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_grid"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / api_key
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Api Key"
      +}
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden: it does establish read-only semantics via 'GET' and explains what max_items means (queries counted, null = no limit), which is genuinely useful. It says nothing about authentication failure, what happens if api_key is omitted (the schema default is null), or whether an invalid key errors versus returning an empty result.

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 front-loaded sentence with no filler; the parenthetical clarifying max_items semantics earns its place. Minor waste in the 'GET /:' route echo, which adds little for an agent that already knows the tool name.

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?

An output schema exists, so return-field enumeration is not required and the description is largely sufficient for a trivial single-resource read. The notable omission is the optional/null api_key behavior, which neither the schema nor the description resolves.

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 0% for the single parameter, api_key, so the description must compensate. It does convey that the key determines which grid is returned ('the grid the API key opens'), which is real added meaning. It does not explain the null default or any key-format expectation, leaving a gap.

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?

Names a specific read operation (GET) on a specific resource (the grid opened by the API key) and enumerates the fields returned, name and max_items. An agent can distinguish it from get_item/get_grade/get_query, which target subordinate resources. It stops short of a crisp sentence like 'Retrieve the grid's metadata', but the intent is unambiguous.

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 guidance, no mention of alternatives such as list_items or get_query, and no stated prerequisites. A reader infers this is the metadata call to make before creating items or queries (to check the max_items limit), but that inference is left entirely to the agent.

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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