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Get model info

infermedica_get_info
Read-only

Get metadata about the current Infermedica medical model (version, last update, concept counts). Engine API: GET /info.

Input Schema

NameRequiredDescriptionDefault
ageNoOptional age context.
dev_modeNoIf true, mark the request as test traffic → sends the `Dev-Mode: true` header.
model_idNoOptional medical model id → sent as the `Model-Id` request header.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The readOnlyHint annotation already tells the agent this is a safe read. The description adds useful context beyond that: it identifies the underlying endpoint (GET /info) and the shape of the returned metadata, which matters because there is no output schema. It does not explain how the optional context parameters (model_id, dev_mode, age) affect the response.

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?

Two short sentences, with the purpose and the returned fields front-loaded. The trailing 'Engine API: GET /info.' is arguably redundant but cheap and useful for endpoint-oriented users.

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 simple read-only metadata tool this is largely complete: it says what comes back and which endpoint is hit, compensating for the absent output schema, and the optional parameters are fully covered by the schema. Only the absence of when-to-use guidance keeps it short of a 5.

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 100%, so all three optional parameters are already documented with their header mappings and defaults. The description adds no parameter-level meaning, so the baseline of 3 is appropriate.

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?

States a specific verb and resource ('Get metadata about the current Infermedica medical model') and enumerates the payload (version, last update, concept counts). It is clearly distinct from the get_*/list_* concept siblings, though it never names an alternative the way a 5 would.

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 statement of when to call this versus the sibling metadata/entity tools, nor any prerequisites or exclusions. Usage is only implied by the word 'current' and the fact that it describes a model-level resource.

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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