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Cliniko MCP by usefulapi

List patients

cliniko_list_patients
Read-only

Search/list patients. Name/email filters use Cliniko 'contains' matching (q[]=field:~value). GET /patients.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (1-based). Default 1.
sortNoField to sort by, e.g. created_at.
emailNoFilter by email (contains match).
orderNoSort direction. asc | desc.
per_pageNoResults per page (max 100). Default 50.
last_nameNoFilter by last name (contains match).
first_nameNoFilter by first name (contains match).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.5/5.0
Behavior4/5

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

readOnlyHint=true already tells the agent this is a safe read. The description adds real value beyond that by disclosing the matching semantics ('contains' matching via q[]=field:~value), which tells the agent filters are substring, not exact. It stops short of describing pagination behavior or result shape.

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?

Very short and front-loaded: purpose first, then filter semantics, then endpoint. No filler. The trailing 'GET /patients' fragment is somewhat telegraphic but still compact.

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 all seven parameters schema-documented, no output schema, and a readOnly annotation, the essentials are covered. Pagination defaults and result format are left to the schema, which is acceptable, though a note on paging through results would have improved completeness for a list endpoint.

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%, so every parameter (page, per_page, sort, order, email, first_name, last_name) is already documented in the schema. The description's note about 'contains' matching largely repeats what the schema already states for the name/email fields, adding little beyond baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Search/list patients') and gives the underlying endpoint, so the agent knows this is a collection query. It does not explicitly contrast with the sibling cliniko_get_patient (single-record fetch), so differentiation is only implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no exclusions, and no mention of the alternative cliniko_get_patient for fetching a known patient. The description only implies usage through the phrase 'Search/list patients', leaving the agent to infer 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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