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MiltonPolanco

Clinic Laboratory MCP Server

record_lab_result

Record a laboratory result with test values, units, and collection time, and optionally complete the linked pending exam.

Instructions

Record a laboratory result and optionally complete the matching pending exam.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitYes
notesNo
valueYes
test_codeYes
test_nameYes
collected_atYes
reference_maxNo
reference_minNo
medical_recordYes
pending_exam_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

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 full responsibility for behavioral disclosure. It mentions the side effect of optionally completing a pending exam, but does not explain what 'complete' means, whether it creates or overwrites data, what happens if pending_exam_id is invalid, or any other behavioral traits. This is thin for a mutating tool.

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?

The description is a single concise sentence that front-loads the primary action and then states the optional behavior. There is no wasted wording. However, for a tool with 10 parameters and no other documentation, this brevity, while clean, leaves substantial gaps—so it is not perfect.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 10 parameters, 0% schema coverage, and no annotations, the description is severely incomplete. It does not define how parameters relate (e.g., pending_exam_id matching, reference ranges), how to construct a valid request, or any output behavior. The output schema exists, but the input semantics are almost entirely unspecified, so an agent cannot reliably call this tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not explain any of the 10 parameters, including required ones like test_code, value, unit, or medical_record. The only hint is 'pending exam' which maps to pending_exam_id, but even that is not explicit. The description adds almost no semantic meaning beyond the schema titles.

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?

The description clearly states the specific action ('Record a laboratory result') and the resource, with an additional optional behavior ('complete the matching pending exam'). This distinguishes it from all siblings, which are about scheduling, searching, retrieving, comparing, or listing. An agent can easily tell this is the write/record tool.

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 verb 'Record' implies the tool is for entering lab results, and the mention of completing a pending exam gives some context for when to use it. However, there is no explicit guidance about when not to use it or which sibling to choose instead. The usage context is implied rather than stated directly.

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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