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Search journal records

search_content
Read-onlyIdempotent

Search literal words in public normalized journal records. Use before reading a returned ID. No private results, generated answers or external fetches. Cursor expires after one hour; maximum 100 records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesLiteral words in public titles and normalized descriptions; no regex or generated answers.
kindNo
limitNoPage size; default 20, maximum 100.
cursorNoOpaque next_cursor from the preceding page; expires after one hour.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
limitYes
snapshotYes
next_cursorYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, closed-world, non-destructive, so the bar is lower. The description still adds real behavior: a one-hour cursor expiry, a 100-record ceiling, and an explicit statement that private/generated/external content is excluded from results.

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?

Three short sentences, each earning its place: purpose, usage sequencing, then constraints. The most decision-relevant scoping statement comes first.

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 present, return values need not be explained, and the description covers scope, pagination and cursor lifetime. The one material gap is that the four `kind` values are never explained, so an agent cannot know which to pass.

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 coverage is 75% and the q, limit and cursor descriptions already carry 'literal words', default/max page size, and cursor expiry. The description largely repeats those facts and adds no explanation of the `kind` enum (page/summary/cost/work), which is undocumented in both places.

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?

Specific verb+resource: 'Search literal words in public normalized journal records.' The scope word 'public normalized' distinguishes it from a generic search, and the line 'Use before reading a returned ID' implies the sibling get_content, though it never names it.

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?

Provides sequencing guidance ('Use before reading a returned ID') and rules out categories ('No private results, generated answers or external fetches'). It stops short of explicitly naming get_content as the alternative, so the routing is inferred rather than stated.

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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