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List named accountant verifiers

list_verifiers
Read-onlyIdempotent

Answers 'who reviewed this?' or 'which accountants are behind this?'. Returns the named licensed accountants who have signed off on OpenAccountants jurisdictions, with their credentials and the jurisdictions they cover.

Input Schema

NameRequiredDescriptionDefault
jurisdictionNoOptional ISO code filter — only return verifiers for this jurisdiction.

Output Schema

NameRequiredDescriptionDefault
totalNo
verifiersNo
next_actionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedOutput schema / properties / verifiers / items / properties / calendly_url
      Removed value: -{
      -  "type": "string"
      -}
  2. Changed1 schema field changed
    • addedOutput schema / properties / next_action
      Added value: +{
      +  "type": "string"
      +}
  3. Added

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the substance of what is returned (credentials, covered jurisdictions), but says nothing about auth needs, rate limits, or whether the list is exhaustive; with an output schema present, this is adequate rather than rich.

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?

Two sentences, front-loaded with the user-facing intent before the technical return description, with no filler. The quoted-question opener is slightly rhetorical but earns its place by anchoring intent matching.

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?

For a zero-required-param read tool with full annotation coverage and an output schema, the description supplies everything needed to select and call it. Only minor omissions (no mention of result ordering or scope of completeness) keep it from being fully complete.

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% and the single optional 'jurisdiction' parameter is fully documented as an ISO code filter in the schema. The description's mention of 'jurisdictions they cover' alludes to the dimension but adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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?

Specific verb ('Returns... named licensed accountants') plus a precise resource and scope ('who have signed off on OpenAccountants jurisdictions'). The framing questions ('who reviewed this?') make the intent instantly matchable and clearly separate it from sibling list_* tools like list_jurisdictions and list_skills.

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?

Gives clear intent-based context via the two quoted user questions, which tells an agent when this tool applies. It does not, however, state when not to use it or name an alternative sibling for adjacent needs, so it stops short of full routing guidance.

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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