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Find and validate fields

assinafy_check_fields
Read-only

Prepare template values or collect field placements. list finds reusable definitions; get inspects one field; validate checks values without creating a document. Match definitions to template placement field_id, ask about ambiguous names, and check each validation result's success before requesting signatures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesChoose exactly one action; supply only its arguments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With readOnlyHint=true already present, the description adds valuable context: validate is side-effect-free ('without creating a document'), validation results need per-item success checks, and ambiguous names should be surfaced to the user. No contradiction with the annotations is apparent.

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, no filler, and the key scoping information is front-loaded. The phrasing is dense and slightly packed, but every clause earns its place by describing an action, a boundary, or a workflow rule.

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?

There is no output schema, so the description carries some burden for return behavior; it does disclose the critical 'check each validation result's success' expectation. Combined with schema branch descriptions for list/get/validate, the tool is adequately specified, though a fuller return-shape hint would make it 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%, so the schema already documents action, account_id, include_inactive, include_standard, field_id, and values. The description adds some usage-level meaning like 'match definitions to template placement field_id,' but it does not add significant parameter-level detail beyond what the schema provides.

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 names three concrete sub-actions with clear verb-object pairs: 'list finds reusable definitions; get inspects one field; validate checks values without creating a document.' This distinguishes the tool from document-creation siblings like prepare_document and request_signatures, and the field-related scope is immediately clear.

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 gives explicit workflow positioning: use it to 'prepare template values' or 'collect field placements,' and specifically 'before requesting signatures.' It also clarifies that validate does not create a document. However, it never names sibling alternatives directly, so the when-not-to-use guidance is implied rather than fully explicit.

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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