Skip to main content
Glama

webdiet_anamnese_write_save_interpretation

Create / update anamnesis records in WebDiet. Actions: save (create or update — anamnese_id empty = new), save_interpretation (save AI/nutritionist interpretation), duplicate (copy existing record). For destructive removal use webdiet_anamnese_delete.

[Flattened action: save_interpretation]

Bulk support: accepts patient_ids, anamnese_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textoNo
tituloNo
accountNo
patient_idYes
anamnese_idNo
patient_idsNo
anamnese_idsNo
interpretacaoNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations do not contradict (readOnlyHint=false, destructiveHint=false). The description adds that the action can create or update based on anamnese_id, and supports batch execution via patient_ids/anamnese_ids. This provides useful behavioral context beyond annotations, though idempotency or error handling is not mentioned.

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 front-loaded with the main purpose, then lists actions, destructive alternative, and bulk support. It is relatively concise (5 sentences) with no redundant information. A bit more structure could improve readability, but it's effective.

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

Completeness3/5

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

Given 8 parameters, no output schema, and 0% schema coverage, the description covers the action logic and bulk capability but lacks details on return values, error conditions, and the effect of missing optional fields. The required parameter (patient_id) is not highlighted. Thus, completeness is moderate.

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 coverage is 0% (no parameter descriptions in JSON schema). The description adds meaning for 'interpretacao' (interpretation field) and explains that anamnese_id empty means new record, and mentions batch parameters. However, parameters like texto, titulo, account remain unexplained, which is a gap.

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 tool creates/updates anamnesis records with a flattened action of save_interpretation. It distinguishes from destructive deletion and other write tools (save, duplicate) by naming them explicitly, making the purpose unambiguous.

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 a clear alternative for destructive removal (webdiet_anamnese_delete) and implies when to use this tool (for saving interpretations). However, it does not explicitly compare with sibling write tools like webdiet_anamnese_write_save or webdiet_anamnese_write_duplicate, which are separate tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.