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Glama

Chia Health MCP Server

Log Side Effects

portal_log_side_effects
Destructive

Log side effects a patient is experiencing. If severity is 'severe', the case is auto-flagged for immediate provider review and returns urgent guidance. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
effectsYesList of side effects being experienced (e.g. ['nausea', 'headache'])
severityYesSeverity level: 'mild', 'moderate', or 'severe'
patient_idYesPatient ID
bearer_tokenNoAuthentication token for the patient session

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate a destructive write operation (readOnlyHint=false, destructiveHint=true). The description adds meaningful context beyond this: severe severity triggers auto-flagging for immediate provider review and returns urgent guidance, plus requires authentication. No contradiction with annotations.

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?

Two concise sentences. The first defines the core purpose, the second adds critical behavioral caveats. No unnecessary words, and information is front-loaded.

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?

Combined with a rich schema, output schema, and annotations, the description covers the essential points: purpose, severe-case behavior, and authentication. The output schema handles return values, so the description is sufficiently complete for this moderately complex tool.

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

Parameters4/5

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

Schema has 100% parameter description coverage, so baseline is 3. The tool description enriches the 'severity' parameter by explaining the special severe-case behavior and implicitly references 'bearer_token' through the authentication requirement, adding value 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 clear verb+resource: 'Log side effects a patient is experiencing.' This distinctly identifies the tool's function and differentiates it from sibling logging tools like portal_log_weight and portal_message by specifying the clinical context.

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?

Provides clear context for when to use the tool ('a patient is experiencing' side effects) and adds a conditional behavior for severe cases that helps guide decision-making. However, it does not explicitly mention alternatives or when not to use, though the domain specificity makes this less critical.

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.