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search_entries

Find dated entries across every timeline by keywords, party id, timeline slug and date range. Every keyword must match (title, summary, party or timeline name); results are ranked, newest first among equals. Returns the entry text and url; call get_entry for quotes and sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoLatest entry date to include.
fromNoEarliest entry date to include.
limitNoResults to return (default 20); total says how many matched.
partyNoOnly entries naming this party id.
queryNoKeywords. Every one must match, in the entry's title, summary, a party name or the timeline name; omit it to browse by filter alone.
timelineNoOnly entries on this timeline slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden and does well: it discloses match semantics (every keyword must match, and which fields are searched), ranking order (ranked, newest first among equals), and what comes back (entry text and url). It omits auth/permission requirements and any mention of pagination behavior beyond the schema's limit.

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 tight sentences with no filler. The primary capability and scope come first, matching semantics second, and the sibling hand-off last — well front-loaded and information-dense.

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 no output schema, the description steps up by describing return content (entry text and url) and the ranking order, and the schema covers defaults and limits. Only minor gaps remain, such as whether results paginate or what happens with large result sets.

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 all six parameters in detail, including the keyword-match rule and the browse-by-filter case. The description largely restates that schema content; its only additive element (ranking order) is behavioral rather than parameter-specific, so the baseline 3 applies.

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 ("Find dated entries"), names the scope ("across every timeline"), and enumerates the filter facets. The closing pointer to get_entry cleanly separates this multi-entry search from the single-entry sibling.

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?

Gives a real routing rule ("call get_entry for quotes and sources") plus an operational mode ("omit it to browse by filter alone"). It never states when this tool is the wrong choice for other intents (e.g. browsing timelines or parties), so it stops short of full when/when-not guidance.

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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