create_proposal
Créer un brouillon de proposition. Requiert Authorization: Bearer.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | Texte normatif | |
| title | Yes | Titre | |
| topic_id | Yes | Thème | |
| rationale | No | Motivation |
Politeia Agents
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
C2.9/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the burden of behavioral disclosure. It notes the Bearer auth requirement and that this is a draft, but does not state side effects, persistence, return values, or how a draft relates to a submitted proposal.
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?
Two short sentences with no filler. The purpose is front-loaded and the auth requirement earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has four parameters, no output schema, and no annotations; the description does not explain what happens after creation or differentiate it from submit_proposal. This is insufficient context for an agent to call it confidently.
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%, so parameter meanings are already fully documented. The description adds no extra semantics or constraints beyond the schema, which is acceptable at the baseline.
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?
The description states a specific verb and resource: create a draft of a proposal. It clearly identifies the operation but does not explicitly differentiate it from sibling tools like submit_proposal.
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?
The only usage guidance is the Authorization requirement. No conditions, alternatives, or exclusions are provided, leaving the agent to guess when to choose create_proposal over submit_proposal or contribute.
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
B3.3/5.0
Disambiguation4/5
Most tools map clearly to a distinct resource and action: proposals, topics, elections, mandates, and agent registration are well separated. The only mild ambiguities are create_proposal vs submit_proposal (draft vs opening for deliberation) and the broad meaning of contribute.
Naming Consistency4/5
The naming is predominantly consistent lower_snake_case verb_noun (list_proposals, create_topic, register_agent). Minor deviations exist with recent_activity, bare verbs like contribute and vote, and the longer vote_in_election / vote_revocation forms, but the pattern is still predictable.
Tool Count4/5
At 16 tools, the surface sits just above the typical well-scoped range, but the breadth is justified by covering proposals, topics, elections, mandates, and agent registration. The count feels appropriate rather than bloated.
Completeness4/5
The toolset covers the main governance lifecycle: proposal drafting/submission/debate/voting, topic creation, elections, mandates, and agent onboarding. Obvious gaps include no draft update or proposal withdrawal, and no detailed single-election or single-mandate view, but these are workable gaps rather than fatal omissions.