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Chia Health MCP Server

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

A4/5.0
Behavior3/5

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

Annotations already indicate destructive/read-only/idempotency hints. The description adds the authentication requirement and purpose context, but does not detail side effects, record creation behavior, or error conditions. It neither contradicts nor substantially extends the annotation-provided behavioral security profile.

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, front-loaded with the core purpose, and includes only necessary details (required inputs and authentication). No redundant or vague language.

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 small parameter set, presence of an output schema, and annotations covering destructive behavior, the description sufficiently covers purpose, inputs, and authentication. It could mention whether this creates a new record or overwrites, but the verb 'log' implies appending, so the description is adequate for a simple logging tool.

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 parameter documentation is already complete. The description restates the required parameters but does not add new semantic insight (e.g., units, formats, or constraints) beyond what the schema provides.

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 states a specific verb ('log') and resource ('a patient's weight') for a clear purpose ('tracking progress on their treatment plan'). This clearly differentiates it from siblings like portal_log_side_effects and portal_message.

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?

The description provides clear context by stating the purpose and listing required inputs (patient_id, weight in pounds, date) and authentication. It does not explicitly mention alternatives or exclusions, but the resource-specific purpose makes the usage scenario clear.

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

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes with clear boundaries, such as auth_* for authentication, checkout_* for payment, and portal_* for patient portal actions. However, there is some overlap between checkout_status and auth_check_payment (both involve polling for payment status) and between portal_support and portal_message (both for communication), which could cause minor confusion.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun pattern throughout, with clear prefixes grouping related tools (e.g., auth_, checkout_, consent_, intake_, medications_, order_, portal_, provider_). This predictable structure makes it easy to understand the tool set's organization and purpose.

Tool Count3/5

With 34 tools, the count is borderline high for a telehealth server, as it may feel heavy and complex for agents to navigate. While the tools cover a comprehensive workflow from authentication to patient portal, some consolidation (e.g., merging similar polling tools) could improve usability without losing functionality.

Completeness5/5

The tool set provides complete coverage for the telehealth domain, including authentication, eligibility checks, medication browsing, intake, consent, checkout, order management, and patient portal features. There are no obvious gaps; agents can handle the entire patient journey from start to ongoing care without dead ends.