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jamesdeane2

MCP IT Glue Server

by jamesdeane2

get_all_reference_data

Fetch all reference data types in one call to cache locally or understand available options. Returns the first page of each type.

Instructions

Get all reference data in a single call.

This is useful for caching reference data locally or understanding what options are available. Returns the first page of each type.

Returns: JSON string with all reference data types

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that only the first page of each type is returned and that the result is a JSON string, which is meaningful behavioral detail. It could say more about payload size or authentication, but for a zero-parameter read-only aggregate, this is adequate.

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?

The description is concise, well-structured, and front-loaded with the main purpose. The usage guidance and return-type note each earn their place without redundancy.

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 tool with no parameters and an output schema, the description covers purpose, use cases, and pagination behavior. It is complete enough for an agent to invoke correctly, though the phrase 'all reference data types' could be more explicit about what types are included.

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?

There are zero parameters, so the baseline is 4. The description adds no parameter-specific meaning, but none is needed since the input schema is an empty object.

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 clearly identifies the tool as retrieving all reference data in a single call, with a resource and action. It implicitly distinguishes itself from the many individual list_* sibling tools by emphasizing the aggregate nature, though it does not explicitly name a sibling.

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

Usage Guidelines4/5

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

It states useful scenarios: caching reference data locally or understanding available options. This provides clear context for when to use the tool, though it does not explicitly contrast it with alternatives like list_countries or list_regions.

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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