See anamnesis status
get_anamnesis_overviewOne line per student with an anamnesis pending or answered.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_anamnesis_overviewOne line per student with an anamnesis pending or answered.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds real value by disclosing that output is one row per student and that the set is filtered to pending-or-answered anamneses, though it says nothing about ordering, volume, or what fields each line contains.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single eleven-word sentence with no filler, and the key scoping fact (pending or answered) sits at the end where it is easy to catch. It is efficient, though it reads as a fragment rather than a front-loaded statement of purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter read tool with no output schema, the description carries the burden of explaining the return value, and it only partially does so: it never says what a "line" comprises (student identity, status, dates). Adequate to call it, but incomplete for interpreting the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline of 4 applies; there is nothing the description needs to disambiguate. The implicit filtering to pending-or-answered is worth noting but does not correspond to a parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The sentence describes the result shape ("one line per student") and the scope (anamnesis pending or answered), which conveys that this is a status overview. But the action verb is only implied by the tool name, and it never distinguishes itself from nearby siblings like list_anamnesis_answers or list_anamnesis_forms.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use guidance and no mention of alternatives, even though list_anamnesis_answers and list_anamnesis_forms are obvious candidates for related questions. The agent must infer that this is the aggregate view while those are the detailed views.
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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