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Assert a claim

facts.recall.assert

Record an auditable claim with statement, evidence, observer, and time in a project registry; evidence must exist and belong to that project.

Instructions

Write a claim into the project registry: statement, evidence, who observed it and when. It does NOT measure anything and it does NOT check that the evidence supports the statement — that would be interpreting. It checks only that the evidence exists and belongs to this project, and embeds it so the claim stays auditable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags, normalized like a project.
projectYesProject whose registry to write to.
evidenceYesAt least one piece of evidence. A claim without evidence does not go in.
statementYesThe claim. Free text: it is never parsed, validated or interpreted.
observed_atNoWhen it was observed. Required with external evidence; forbidden when all evidence is this server’s own, where it is derived.
observed_byYesWho observed it. Mandatory, no default: a claim without an author does not go in.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the observation could be taken. NOT a judgement about what was observed: a cleanly received HTTP 500 is ok:true.
dataYesThe raw observation, or null when error is set.
toolYesFull tool name.
errorYesWhat prevented observing, if anything.
targetYesEffective arguments, redacted.
projectYesThe normalized project.
warningsYesNon-fatal notices.
age_basisYesWhich clock the age came from.
request_idYesThe request that produced it.
age_secondsYesSeconds since observed_at.
duration_msYesHow long the observation took.
observed_atYesISO 8601 with offset.
observation_idYesCitable id of this observation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare a non-read-only, non-destructive, closed-world write, and the description goes beyond them: it discloses that only evidence existence and project ownership are validated, that semantic support is deliberately NOT checked, and that evidence is embedded for auditability. It omits idempotency/duplicate handling and error behavior for a mutation tool, which keeps it from a 5.

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 sentences, front-loaded with the action and payload, then the scoping negations and the auditability rationale. Every sentence earns its place, though the 'that would be interpreting' aside and the final clause slightly pad an otherwise tight definition.

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?

With an output schema available, return values need no explanation, and the description covers the write semantics and validation boundary well for a 6-parameter mutation. Remaining gaps are minor: no statement on duplicate/conflicting claims or on what happens if the referenced evidence is missing.

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 every parameter including the observed_at derivation rule and the evidence union. The description restates the field set without adding format, syntax, or constraints beyond what the schema provides, which is the expected baseline here.

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?

States a specific verb and resource ('Write a claim into the project registry') and enumerates the payload fields. The explicit negations ('does NOT measure anything') separate it from the facts.measure.* siblings, so an agent can distinguish it without opening other schemas.

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 draws a clear boundary: use this to record a claim, not to measure and not to interpret evidence. It does not name any alternative tool (e.g. facts.recall.query for reading) or state prerequisites, but the when-not conditions are explicit enough to route correctly.

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