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propose_context

Propose a new/updated Idea note → Inbox. Title-match to update; send the COMPLETE revised text. Set resync:true ONLY when you rewrote the note FROM the current systems (get_stale lists notes the systems have moved past) — it stops the adopted note from immediately nagging to re-generate the systems it was just written from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
batchNoimport_from_code batch id
titleYesMatch existing to update, or new to add
resyncNoThis note was re-derived from the current systems — re-stamps both staleness signals on adopt
contentYesComplete text, not a delta
project_idNo
acknowledge_rejectionNoOnly after a DECLINED bounce AND asking the user

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only include destructiveHint:false, so the description carries the burden. It discloses upsert behavior (title-match to update), the requirement for complete text, and the consequence of resync:true—re-stamping staleness signals to prevent immediate regeneration nagging. This goes well beyond the minimal annotation.

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?

The description is three sentences, each dense with useful information. There is no filler, but the third sentence on resync is long with nested clauses. Given the complexity of the parameter, this is acceptable and stays concise enough.

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 6 parameters, no output schema, and sparse annotations, the description covers core usage: create/update behavior, complete text requirement, and resync semantics while referencing get_stale. It omits some parameter details (batch, project_id) but those are in the schema. Overall, it is complete for an agent to correctly select and invoke the tool.

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 coverage is 83%, so baseline is 3. The description adds significant value by explaining the resync parameter in detail (when to set true and why), and clarifies that content must be complete. It does not describe batch or project_id, but the schema already covers those, so the description complements rather than repeats.

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 clearly states the tool proposes a new/updated Idea note to the Inbox, using a specific verb and resource. It distinguishes from sibling propose_* tools (e.g., propose_screen, propose_system) by focusing specifically on Idea notes and mentions title-match update behavior.

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 provides clear context: title-match determines update vs. new, and content must be the complete revised text. It also gives an explicit condition for setting resync:true, referencing get_stale to identify stale notes. It does not explicitly mention alternatives, but the resource type and update semantics make usage clear.

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

A3.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, with explicit distinctions between direct actions and proposals via Inbox. The verbs and object types (system, milestone, screen, element, balance) are unique enough that no two tools appear to do the same thing.

Naming Consistency4/5

Most tool names follow a consistent verb_noun snake_case pattern (get_system, propose_screen, update_element). Minor deviations like 'dedupe', 'search', 'next_task', and 'reorder' are single words or non-verb but remain readable and stylistically compatible.

Tool Count1/5

With 54 tools, this server vastly exceeds the typical MCP scope, hitting the 'extreme mismatch' threshold. Even for a complex domain, the sheer number will overwhelm agents and degrade selection performance.

Completeness5/5

The tool surface is remarkably complete, covering full lifecycle operations for all major entities, plus import, design generation, drift detection, status reporting, inbox handling, and rejection workflows. No obvious dead ends or missing operations for the stated purpose.