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Glama

Chia Health MCP Server

Submit Provider Response

provider_respond
DestructiveIdempotent

Submit answers to provider follow-up questions for a specific order. The responses are sent to the provider for review. Returns confirmation and updated order status. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answersYesAnswers to the provider's follow-up questions keyed by question ID
order_idYesOrder ID to submit responses for
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 declare readOnlyHint false, idempotentHint true, and destructiveHint true. The description adds that responses are sent to the provider and that it returns confirmation and updated order status, plus requires authentication. However, it does not explain the destructive hint (e.g., overwriting previous responses), leaving some behavioral ambiguity.

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, immediately stating the action and outcome. It is concise, front-loaded, and contains no wasted words.

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?

With an output schema present, return values are already documented. The description covers the main action, the need for authentication, and the effect (responses sent to provider, order status updated). It omits the prerequisite relationship with provider_questions and the destructive overwrite behavior, but given the tool's simplicity and existing structured hints, it is sufficiently complete.

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%, with each parameter having a description. The tool description adds no additional parameter-level meaning; for instance, the 'answers' object's keyed-by-question-ID structure is already in the schema. Thus the description does not enhance the schema's parameter semantics.

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 uses a specific verb 'Submit answers' and identifies the resource as 'provider follow-up questions for a specific order.' This clearly distinguishes it from the sibling tool 'provider_questions' (which retrieves questions) and other submission tools like intake_submit.

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 gives clear context: it is for submitting answers to a specific order's provider follow-up questions and requires authentication. It does not explicitly name alternatives or state when not to use it, but the context is unambiguous enough for an agent to infer the appropriate use case.

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.