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ZeroWidth Prism

Keep a study insight in Ledger

prism_insights_promote

Promotes an analysis theme (or, with no themeId, the analysis summary) into the workspace's Ledger as a belief, carrying the supporting verbatims as evidence with links back to the study. THE step that turns a finding into workspace memory — use when the user says an insight matters. May return needs_confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
studyIdYes
themeIdNoA theme id from prism_studies_get; omit for the summary.
workspaceNoWorkspace slug. Personal tokens with no default workspace MUST pass this; tokens with a default can override per call. Ignored for workspace API keys.
approvalIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations cover the safety profile (write op, non-destructive, closed-world), so the bar is lower. The description still adds real behavior: it carries supporting verbatims as evidence with links back to the study, and it flags that the call "may return needs_confirmation" – a non-obvious outcome an agent must handle.

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, then the framing/value, then the return caveat. No wasted words; each sentence adds distinct information.

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?

For a 4-param mutation tool with no output schema, the description covers purpose, side effects (verbatim evidence + study links), and the confirmation outcome. The only real omission is the relationship between approvalId and the needs_confirmation flow, which would round it out.

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?

At 50% schema coverage, the schema already documents themeId (including the omit-for-summary rule) and workspace, and the description reinforces the themeId fallback. However, approvalId is undocumented in both schema and description, leaving a meaningful gap – the likely tie-in to needs_confirmation is never explained.

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 (promotes) and resource (an analysis theme or, with no themeId, the analysis summary) and names the destination (workspace's Ledger as a belief). This is distinct from any sibling tool – none of the other prism_* tools perform promotion into Ledger memory.

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?

"use when the user says an insight matters" gives a concrete usage trigger, and the parenthetical clarifies the themeId-omitted fallback. It lacks explicit exclusions or named alternatives (e.g. research_findings_list), but the trigger condition is clear and actionable.

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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