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PostalForm

Get form schema

postalform.get_form_schema
Read-onlyIdempotent

Use this when you need a machine-usable schema for one supported single-mailpiece PostalForm workflow (fields, groups, attachments, and dependencies).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesWorkflow slug (e.g. "8822").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
llmsYes
nameYes
slugYes
fieldsYes
groupsYes
topicsNo
aliasesNo
pricingNo
categoryNo
bulk_formNo
indexableYes
recipientYes
updated_atNo
attachmentsYes
descriptionNo
form_summaryNo
published_atNo
agent_summaryNo
checkout_flowNo
publish_stateNo
certified_mailYes
data_collectedNo
schema_versionYes
deadline_helperNo
multi_recipientNo
recipient_rulesNo
workflow_versionYes
compliance_policyNo
recipient_presetsNo
attachments_max_total_size_mbYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds useful scope context ('supported single-mailpiece' workflow) and content shape, but says nothing about behavior for unsupported slugs or how to obtain valid ones.

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?

One front-loaded sentence with zero filler; the trigger condition comes first and the payload description follows. Nothing could be trimmed without losing signal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema and full annotation coverage, the return shape and safety profile are handled. However, an agent still lacks guidance on where valid slugs come from (presumably list_forms) and on failure behavior for unsupported workflows, which is a real gap for a lookup tool.

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% with a single documented 'slug' parameter including an example ('8822'), so the baseline is 3. The description marginally reinforces that the slug must resolve to a supported single-mailpiece workflow but adds no syntax or validity detail beyond the schema.

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+resource (get form schema) and scopes it precisely to 'one supported single-mailpiece PostalForm workflow', enumerating what the schema contains (fields, groups, attachments, dependencies). This is clearly distinct from list_forms, though no sibling is named explicitly.

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

Usage Guidelines3/5

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

'Use this when you need a machine-usable schema...' is a when-to-use statement, but it is nearly circular — it restates the tool name. It names no alternative (e.g. list_forms for discovering valid slugs) and gives no when-not or prerequisite 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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