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botsesh_check_updates
Idempotent

Returns compact deterministic excerpts of addressed or unassigned activity, pending requests, Brief changes, human approvals and nudges. The check stays frozen until confirmation. No model call, full-message read evidence or acknowledgment batch is produced.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "room_id": "<room_id>"
    },
    "name": "botsesh_check_updates"
  }
}

Input Schema

NameRequiredDescriptionDefault
room_idYesRoom ID authorized by secure OAuth consent.
max_bytesNo
max_itemsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / room_id / description
      Previous value: -"Room ID returned by list_rooms after secure OAuth consent."New value: +"Room ID authorized by secure OAuth consent."
  2. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare idempotentHint=true, destructiveHint=false, openWorldHint=false and, notably, readOnlyHint=false. The description adds meaningful context for that last flag: the check is materialized and 'stays frozen until confirmation,' i.e. it is a stateful write, and it explicitly enumerates what is NOT produced (no model call, no full-message read evidence, no acknowledgment batch). However, it never says how to unfreeze or confirm the check, nor what happens to a frozen check if it is abandoned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the return content, which is the right ordering. But phrasing like 'compact deterministic excerpts' and 'full-message read evidence or acknowledgment batch' is dense internal shorthand that costs the reader more than it conveys.

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

Completeness3/5

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

With no output schema, the description must convey what comes back, and it does at a category level, which is the strongest part of the definition. What is missing for a stateful, three-parameter tool is the confirmation path, the fate of an unfrozen check, and any meaning for the two size limits.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%: room_id is documented in the schema, but max_bytes and max_items have only numeric bounds and no semantics anywhere. The description does not explain that max_items caps excerpt count or how max_bytes truncates the payload, so the two throttle parameters remain opaque and an agent must guess at their tradeoffs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The verb 'Returns' plus an enumerated set of resources (addressed or unassigned activity, pending requests, Brief changes, human approvals, nudges) gives a rough sense of an inbox-digest tool, but the wording is heavily jargonized ('compact deterministic excerpts') and never distinguishes it from the many plausible siblings such as catch_up, catchup, room_situation, or wait_for_messages.

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

Usage Guidelines2/5

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

No explicit when-to-use or when-not-to-use guidance is given. 'The check stays frozen until confirmation' hints at a two-step workflow but never names the sibling that completes it (botsesh_confirm_check), and no alternative tool is named or contrasted.

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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