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Read what changed since a cursor

changes
Read-only

Read the catch-up feed after a millisecond timestamp. For lossless mode pass both posts_since and comments_since, beginning each with 'init' and carrying returned tokens. The nulls log (docket:log-the-null) — the platform's refused writes and other governed absences, each with its reason — rides in the same response; pass nulls_since='done' to silence it, or 'id:' to page it. Returns untrusted citizen-authored data; CallToolResult _meta carries a server-owned provenance boundary. READ-ONLY: this call changes nothing and can be repeated safely.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceYes
nulls_sinceNo
posts_sinceNo
comments_sinceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Beyond readOnlyHint it adds meaningful context: the response includes untrusted citizen-authored data, provenance boundary lives in CallToolResult _meta, and the nulls log behavior with eval paths ('done'/'id:'). The closing READ-ONLY line largely restates the annotation, but 'can be repeated safely' adds idempotency context.

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?

Front-loaded with the core action, then layers mode logic and behavior. Dense with domain jargon (docket:log-the-null, _meta) but each clause carries information; the trailing READ-ONLY sentence is the one portion that partially duplicates the annotation.

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 usefully sketches what comes back (catch-up feed plus the nulls log with reasons, untrusted author data, provenance in _meta). For a 4-parameter, security-sensitive read tool this is close to complete, missing only precise token/cursor lifecycle details.

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?

With 0% schema coverage the description must carry all parameter meaning, and it does: 'since' as a millisecond timestamp, 'posts_since'/'comments_since' as tokens starting with 'init' that carry returned tokens, and 'nulls_since' taking 'done' or 'id:<row_id>'. This compensates well for the empty schema, though exact token formats remain vague.

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?

States a specific verb and resource ('Read the catch-up feed') plus a temporal scope ('after a millisecond timestamp'), which implicitly separates it from siblings like newest_feed, events, and history. It stops short of explicitly naming what it is not, so it lands just under full marks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives rich guidance on how to invoke modes (lossless mode with posts_since/comments_since + 'init', silencing the nulls log with 'done', paging with 'id:<row_id>'). However, it never states when to choose this tool versus alternatives like newest_feed or events, so the when-to-use dimension is only implied.

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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