Skip to main content
Glama

Add facts step by step

guided_turn

Collect real facts one question at a time. Start with an entity, then answer using the returned draftId, revision and questionId. Supports skip, back, cancel and save. Retain entity for expiry recovery. Operations: start | answer. Returns the response envelope; follow the primary nextAction. Use confirm: false for a preview, then repeat identical inputs with confirm: true after the user confirms.

Input Schema

NameRequiredDescriptionDefault
valueNoThe value supplied by the user. Follow the type and allowed values in this schema.
actionNoThe action supplied by the user. Follow the type and allowed values in this schema.
entityNoThe entity supplied by the user. Follow the type and allowed values in this schema.
draftIdNoSaved draft identifier returned by its list or create tool.
languageNoOptional. Omit to infer the posting language, else conversation language, else account language; do not ask the user unless they request this setting.
revisionNoThe revision supplied by the user. Follow the type and allowed values in this schema.
targetIdNoSaved target identifier returned by its list or create tool.
operationYesChoose the task. Each operation accepts only its own fields.
pastedTextNoThe pasted text supplied by the user. Follow the type and allowed values in this schema.
questionIdNoSaved question identifier returned by its list or create tool.

Output Schema

NameRequiredDescriptionDefault
dataNo
pageNo
errorNo
linksNo
statusYes
noticesNo
pollingNo
summaryYes
agentHintNo
nextActionsYes
appliedDefaultsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The description adds real behavioral context beyond the annotations: a turn-based protocol keyed on nextAction, expiry recovery via the retained entity, and the full set of user actions. However, it instructs the agent to 'use confirm: false ... then repeat identical inputs with confirm: true', and no confirm parameter exists in the schema (additionalProperties: false), so this guidance would lead an agent to send an invalid argument.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded and most sentences carry real protocol information, but the closing confirm sentence is both verbose and factually wrong, and phrasing like 'follow the primary nextAction' assumes vocabulary the agent only learns from the response envelope.

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?

An output schema exists, so return values need not be explained, and the description correctly points at the response envelope and nextAction. It does not explain how the guided sequence terminates or what the agent should do on an expired draft beyond 'retain entity', and the incorrect confirm instruction leaves the write/commit path undefined.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline would be 3, but the description actively misleads: it names a 'confirm' parameter that is not in the schema and cannot be passed. The useful addition (entity seeds a start, draftId/revision/questionId come from prior turns) is present but is undercut by the phantom parameter.

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 concrete verb and workflow: 'Collect real facts one question at a time' and the two operations (start | answer). An agent can tell this is a multi-turn guided data-entry tool. It does not, however, distinguish itself from siblings such as draft_text or create_item, which also produce content from user input.

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 sequencing is explicit: start with an entity, then answer using the returned draftId, revision and questionId, and follow the primary nextAction. Supported actions (skip, back, cancel, save) and the preview-then-confirm flow are given. What is missing is any when-not-to-use guidance versus the sibling drafting/creation tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources