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dismissaluk_get_fact

Get one verified fact from the dismissaluk pack. Refuses (do_not_answer) when drifted or unverified — never guesses.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "fact_id": "<fact_id>"
    },
    "name": "dismissaluk_get_fact"
  }
}

Input Schema

NameRequiredDescriptionDefault
fact_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden, and it does disclose a non-obvious behavioral trait: the tool returns a do_not_answer refusal when content has drifted or is unverified, rather than guessing. That is exactly the kind of refusal-mode information an agent needs before interpreting an empty or negative result. It still omits what happens on an unknown or malformed fact_id and whether refusals are distinguishable from errors.

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?

Two short sentences, zero filler, with the core action front-loaded and the refusal caveat immediately after. Every clause carries information; nothing is restated from the schema or title.

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?

The tool is simple (one required param, no nesting), which lowers the bar, but with no output schema and no annotation coverage the description should say more about the shape of a returned fact and how fact_id is sourced. The refusal behavior is covered, which is the most important omission for this tool; the id-sourcing gap remains.

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?

The single parameter has 0% schema description coverage, so the description must compensate for fact_id and does not. It gives no indication of the id's format, whether it is pack-scoped to dismissaluk, or how an agent should obtain one. The only hint of meaning added is that the id refers to one 'verified fact'; the uniqueness constraint is a non-obvious behavioral trait worth noting.

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 and resource: 'Get one verified fact from the dismissaluk pack.' The domain-qualified phrasing plus 'one' (singular, by id) separates it from the sibling list_facts and changes tools well enough for selection. It stops short of explicitly naming those siblings as the way to discover a fact_id or check for updates.

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

Usage Guidelines2/5

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

The description offers no when-to-use or when-not-to-use guidance and never names an alternative. It does not say that fact_id must first be obtained via dismissaluk_list_facts, nor does it distinguish this from dismissaluk_changes for freshness questions. Usage is only inferable from the verb.

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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