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put_proposal

Replace the pending set of suggested changes. This is the ONLY write the scheduled run should make — nothing here reaches the list until the user reviews and accepts it. Replaces any previous proposal wholesale, so include everything still worth suggesting, up to 100 deltas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentNoYour name as the user knows you — "Claude" — shown as the review headline ("Claude suggests some changes") and in the notification. Just the name: no model version, no "AI". Omit it and the screen says "Your AI agent".
deltasYesThe proposed changes — add, complete, remove or update, plus the rule kinds. At most 100: send the ones that matter most and let the rest wait for the next run, because a review too long to finish gets dismissed whole. An empty array clears the proposal. Prefer complete over remove for anything that actually got done.
summaryNoOne line on what this pass looked at.

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries full burden and satisfies it: it discloses that the tool 'Replaces any previous proposal wholesale,' that it is the only write for the scheduled run, and that changes are gated behind user review ('nothing here reaches the list until the user reviews and accepts it'). It also states the 100-delta limit, covering key behavioral constraints.

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 two sentences, front-loaded with the core purpose, and every phrase adds value: the replacement behavior, the exclusive write context, the review gating, and the 100-delta limit. There is zero redundancy.

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?

Given the tool's complexity (multiple delta kinds, rules, parameters) and the absence of annotations or output schema, the description provides essential context: it orients the agent on when to use it, the wholesale replacement semantics, and the critical safety property that nothing reaches the list until user acceptance. The rich schema covers the remaining detail, so the description is complete enough for selection and invocation.

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%, and the schema itself provides exhaustive descriptions for all parameters, including the delta kinds, field meanings, and constraints. The tool description adds only a brief contextual note about the 100-delta cap and wholesale replacement, which is already implied by the schema's description of deltas. Per the rubric, a baseline of 3 is appropriate when the schema does the heavy lifting.

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 uses a specific verb + resource: 'Replace the pending set of suggested changes.' It clearly distinguishes itself from sibling tools like add_item or complete_item by stating it is 'the ONLY write the scheduled run should make' and that it replaces the entire proposal wholesale, not just a single delta.

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

Usage Guidelines5/5

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

The description explicitly states when to use: 'This is the ONLY write the scheduled run should make.' It contrasts with alternatives by noting that 'nothing here reaches the list until the user reviews and accepts it,' implying this is for proposing changes rather than direct mutation. It also gives a practical limit: 'up to 100 deltas,' which guides how to prioritize.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource (items, focus, rules, proposals) with clear action verbs, and the descriptions explicitly delineate when to use add_item vs put_proposal and warn against using manage_focus/manage_rule outside conversation, leaving no ambiguity.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (add_item, complete_item, get_document, manage_focus, manage_rule, put_proposal), with verbs conveying the action and nouns the target.

Tool Count5/5

Six tools is well-scoped for this server: core item operations (add, complete, read), auxiliary resource management (focus, rules), and a proposal mechanism. Each tool has a distinct, non-redundant purpose.

Completeness3/5

The surface covers item creation, status changes, and reads, plus focus and rule management, but lacks direct item deletion or content editing; dismissal is mentioned in get_document but no tool performs it, requiring workarounds via proposals.

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