get_member
Look up a specific UAW member by their union card ID. Retrieve their membership class, join date, and standing within the collective.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Member ID |
Look up a specific UAW member by their union card ID. Retrieve their membership class, join date, and standing within the collective.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Member ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries the burden. It indicates a read operation ('look up', 'retrieve') but does not disclose error behavior, permissions, or rate limits. For a simple lookup, this is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences, front-loaded with the primary action, no redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With one parameter and no output schema, the description fully covers what the tool does and what data it returns, sufficient for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema describes 'id' as 'Member ID', but the description adds the crucial 'union card ID' context, clarifying the identifier's format and purpose beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the tool looks up a specific UAW member by union card ID and retrieves specific fields. Distinguishes from sibling 'get_members' by emphasizing 'specific' and the unique ID.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies usage for single-member lookups by ID, contrasting with plural 'get_members'. No explicit alternatives or exclusions, but the context is clear enough for an agent to decide when to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource or action: proposals, grievances, members, stats, feed, and resolutions are clearly separated. Even similar getters (get_member vs get_members) are unambiguous, and governance actions like create, deliberate, file, vote, support, and open vote have specific scopes with no overlapping purposes.
Tool names follow a consistent snake_case verb_noun pattern (e.g., get_proposals, create_proposal, vote_on_proposal). The only deviation is 'my_vote', which is a noun phrase rather than a verb command, but this is minor and does not create confusion.
At 17 tools, the set is slightly above the typical 3-15 well-scoped range, but the domain is broad (membership, proposals, grievances, platform overview). Each tool serves a distinct purpose and none feel redundant, so the count is justified.
The core lifecycle is well covered: joining and profile updates, proposal creation/deliberation/voting, grievance filing/support/classification, and governance overview via feed, stats, and resolutions. Minor gaps exist, such as no way to edit a proposal or view detailed voting tallies, but these are workable.