Skip to main content
Glama

health-gorilla

Poll query status

healthgorilla_poll_query_status
Read-only

Poll a RequestResult URL returned by healthgorilla_start_patient360_query. HTTP 202 = still processing, 200 = done (returns retrieval metrics: organizationsTotal, documentsFound, documentsImported, documentsSkipped, documentsFailed). Returns { status, body }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_result_urlYesThe RequestResult poll URL returned by a Patient360 query (a Health Gorilla URL).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true; the description goes further by decoding the HTTP contract (202 = processing, 200 = done) and naming the return shape and metrics. That is meaningful behavior disclosure beyond the annotation, though retry/backoff expectations and error behavior are unstated.

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?

Three short sentences, front-loaded with the action and the source tool, then the status-code semantics and return shape. Dense and free of filler, with only minor terseness in the final 'Returns { status, body }' line.

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?

There is no output schema, so the description carries the return-value burden and does so by naming status, body, and the retrieval metrics. It is nearly complete for a one-parameter polling tool, missing only terminal error/timeout handling.

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 coverage is 100% and the schema already documents the single parameter as a Health Gorilla RequestResult URL. The description restates the same origin (returned by start_patient360_query) without adding format or constraint detail beyond the schema.

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

Purpose5/5

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

States a specific verb (poll) and resource (RequestResult query status) and explicitly ties the tool to the sibling that produces the URL, healthgorilla_start_patient360_query. An agent can distinguish it from the list_* and get_* siblings at a glance.

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?

Makes the usage context explicit: this is the follow-up to healthgorilla_start_patient360_query, and the input is the URL that tool returns. It does not state when-not-to-use or a recommended polling cadence, so it stops short of full routing guidance.

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.