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add_question

Add an open question to an initiative. Mark it blocking to return the initiative to draft, or set implementation=true for questions left to the implementer.

Instructions

Add an open question. A blocking question moves a designed initiative back to draft. Use implementation=true for questions deliberately left to the implementer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYesInitiative: "collection#n", a bare number, or a path.
textYes
collectionNo
implementationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It does reveal a valuable non-obvious side effect — a blocking question reverts a designed initiative back to draft — but says nothing about permissions, reversibility, or the response shape, leaving substantial behavioral gaps.

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?

Three short sentences, front-loaded with the core action and the most consequential side effect before the parameter hint. Every sentence carries information; nothing is padded.

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

Completeness2/5

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

For a 4-parameter mutation tool with no annotations, no output schema, and low schema coverage, the description is too thin. It omits the meaning of the required `text` and `collection` parameters and any indication of what the call returns.

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 description coverage is only 25%, so the description needs to compensate and largely doesn't. It explains the `implementation` flag meaningfully, but `text`, `collection`, and the rest of `ref` semantics remain undocumented in both schema and description.

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?

"Add an open question" gives a specific verb plus resource, and the mention of blocking questions vs. implementation questions carves out scope. It does not explicitly name siblings like resolve_question or questions, so the agent must infer the distinction, but the core purpose is unambiguous.

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?

It offers one concrete usage rule ("Use implementation=true for questions deliberately left to the implementer") and implies when a blocking question applies. There is no when-not guidance and no explicit alternative tool named, so usage is only partially implied.

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