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particle_alert_list_matches

Read-only

List the matches an alert has caught, newest first — the payoff of an alert. Each match names the watched entity and the podcast episode it was detected on (with episode and podcast slugs that feed particle_podcast_get_episode and particle_podcast_resolve). Use view=detailed to include the transcript excerpts around each mention, and after/before to scope to a date range. Backfilled matches (from the past-week sweep at creation) are flagged and never triggered an email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoDetail level. 'summary' (default) returns each match's entity, episode, and counts. 'detailed' also includes the transcript excerpt windows around each mention.
afterNoOnly matches detected on or after this ISO date (e.g. 2026-05-01).
limitNoMatches per page (1-100, default 25).
beforeNoOnly matches detected on or before this ISO date.
cursorNoOpaque pagination cursor from a previous response's cursor field.
alert_idYesAlert id whose matches to list.
output_formatNoOutput serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matters; the JSON shape is larger and noisier for an LLM to read.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses ordering (newest first), the backfill flag and its implications for email, and the presence of episode/podcast slugs that feed other tools. These are genuinely useful behavioral details not visible in the schema or annotations.

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?

The description is compact, front-loaded with the core action, and every clause adds information. It avoids restating schema details and packs ordering, backfill behavior, parameter guidance, and downstream tool links into two efficient sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list tool with no output schema, the description covers what the response contains, how to get more detail, how to filter by date, and how returned slugs connect to other tools. Pagination and formatting defaults are already fully specified in the input schema, so nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 parameters. The description adds value by explaining how view=detailed changes the payload, how after/before scope results, and why the slugs matter. This goes slightly beyond the baseline for fully documented schemas.

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?

The description begins with a precise verb and resource: 'List the matches an alert has caught, newest first'. It clearly distinguishes matches from the alert itself, and the 'payoff of an alert' phrase makes the tool's role obvious relative to sibling alert tools.

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 gives clear context for when this tool is relevant: after an alert has caught matches, and it explains downstream use of the slugs. It does not explicitly name alternative tools to exclude, but the context is specific enough that an agent would not confuse it with alert listing or podcast transcript search.

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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