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Glama

Log Weight

portal_log_weight
Destructive

Log a patient's weight for tracking progress on their treatment plan. Requires patient_id, weight in pounds, and date (ISO 8601). Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate of weight measurement in ISO 8601 format (YYYY-MM-DD)
patient_idYesPatient ID
weight_lbsYesWeight in pounds
bearer_tokenNoAuthentication token for the patient session

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the agent knows this is a write with potential destructive impact. The description adds the 'requires authentication' requirement and the purpose context, but does not disclose any additional behavioral traits like append vs. override behavior.

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 two sentences long with no filler. It communicates the core action, required parameters, and authentication need efficiently.

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?

Given the presence of an output schema and annotations, the description sufficiently covers the tool's purpose and requirements. It does not explain edge cases like duplicate logging or side effects, but the annotated destructive hint and output schema reduce the burden on the description.

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 parameters are already documented. The description repeats parameter names and units but adds no new semantic information beyond what the schema provides. Baseline 3 applies because the schema carries the full burden.

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 states the tool's function with a specific verb ('Log') and resource ('a patient's weight'), and adds context ('for tracking progress on their treatment plan'). It distinguishes from sibling tools by the unique resource, though it does not explicitly name alternatives.

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?

No guidance is provided on when to use this tool versus alternatives. It only lists required parameters and authentication, but does not mention exclusions or conditions under which to choose a different tool.

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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TDQS

A3.9/5.0
Disambiguation5/5

Every tool targets a distinct resource and action within the telehealth workflow: auth, consent, eligibility, intake, medications, checkout, order, portal, and provider communication. Even the multiple medication tools (list, details, availability, pricing) have clearly separated purposes, and there is no overlap among the 34 tools.

Naming Consistency5/5

All tool names follow a consistent `domain_verb` or `domain_noun` snake_case pattern, prefixed by their domain (auth_, checkout_, consent_, intake_, medications_, order_, portal_, provider_). There are no mixed conventions or vague verbs, making the API predictable and easy to navigate.

Tool Count2/5

With 34 tools, the server exceeds the 25+ threshold for 'too many' and feels fragmented. Many tools could be consolidated (e.g., medication pricing and availability could fold into details, and consent list/status could be combined). While the scope is broad, the count is excessive for a well-scoped MCP server.

Completeness4/5

The tool surface covers the full patient lifecycle from authentication and consent through eligibility, intake, checkout, order management, and post-order portal features. Minor gaps include lack of order cancellation or order listing, and no explicit intake update mechanism, but these are workable and do not block core workflows.

Resources