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fetch

Read-only

Retrieves the full published record for an entity returned by search (clinic, doctor, treatment, service or policy). Pass the value of the search result's id field — the parameter may be given as either id or entity_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoEntity id returned by search, e.g. doctor:sadik-taki
entity_idNoAlias for `id`, accepted for backward compatibility

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
evidenceYes

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description adds the scope constraint 'returned by search' and 'full published record' but no additional behavioral details such as error handling or auth requirements. No contradiction.

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 focused sentences: first states the action and scope, second explains the parameter interchangeability. No redundant 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?

Output schema covers return structure; annotations cover safety; description provides the essential usage context. It stops short of explicitly contrasting with sibling get_* tools, but the 'full published record' phrasing and sibling names make the distinction clear.

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 100% with descriptions for both id and entity_id. The description reinforces that either parameter can be used and that the id originates from a search result, but adds little beyond the schema descriptions.

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 the specific verb 'Retrieves' with resource 'full published record for an entity returned by search' and enumerates entity types, clearly distinguishing from sibling get_x tools that retrieve specific aspects.

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?

It explicitly positions the tool as the follow-up to search, instructing to pass the search result's id. It does not name alternatives or exclusions, but the scope (full record vs. specialized getters) provides clear context.

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

A4.1/5.0
Disambiguation4/5

Each get_* tool targets a distinct information domain (clinic profile, doctor profile, prices, reviews, etc.), but the generic 'fetch' overlaps with the specific getters, creating minor ambiguity.

Naming Consistency3/5

Most tools follow a get_* pattern, but 'fetch' breaks the convention, and 'search' and 'request_callback' deviate from the get_ prefix, resulting in an inconsistent style.

Tool Count5/5

With 12 tools, the set is well-scoped for a patient services server, covering information retrieval and contact actions without bloat.

Completeness4/5

The server covers the core patient journey: researching treatments, clinic info, prices, reviews, visit logistics, and initiating contact via callback or WhatsApp. A potential gap is direct appointment booking, but the contact mechanisms compensate.

Resources