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Agent Chef

Get past votes

get_past_votes

Historical ballots: per week, every candidate with vote count, voters, and whether it was selected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limit_weeksNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the burden, and it does disclose the output behavior: historical ballots with weekly candidates, vote counts, voters, and selected status. It does not explicitly state that this is a read-only operation or mention any side effects, but the 'get' prefix and 'historical' framing strongly imply a safe query.

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 very concise and front-loaded with the core concept, and every phrase carries information about the output. It is appropriately sized for a simple tool, though the compressed phrasing skips important parameter context.

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?

For a simple one-parameter read tool, the description covers the main return shape but omits the meaning of limit_weeks and any ordering or recency details. Since there is no output schema, the description carries the return-value burden and only partially fulfills it.

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 0%, so the description must clarify the parameter semantics, but it never mentions limit_weeks or explains how weeks are bounded. The parameter name and default value give some hint, but the description adds no value for understanding what limit_weeks actually controls.

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 clearly identifies the resource (historical ballots/past votes) and specifies the returned content: per-week candidate vote counts, voters, and selection status. It is distinct from siblings like get_current_week and add_vote, though it does not explicitly name an alternative or contrast itself with one.

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?

There is no guidance on when to use this tool versus alternatives, no mention of intended scenarios, and no exclusions. The description only defines what the tool returns, leaving the agent to infer when it should be called.

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
Disambiguation4/5

Most tools target a distinct resource and action, with detailed descriptions that clarify boundaries. The main confusable pair is run_agent_chef vs next_actions, which both return the due-action checklist and operating instructions, differing only by trigger context. propose_recipes vs add_candidates are also related but clearly separated by phase (initiating a cycle vs appending during feedback).

Naming Consistency4/5

The overwhelming majority follow a verb_noun snake_case pattern (get_, update_, set_, add_, record_, remove_), which is highly predictable. Minor deviations include next_actions being a bare noun phrase rather than get_next_actions, and favorite_recipe using 'favorite' as a verb instead of something like toggle_favorite.

Tool Count2/5

At 34 tools, the surface is heavy for an agent to select from, exceeding the 25+ threshold for 'too many'. The domain is genuinely broad, but several utility and meta tools (dismiss_setup_checklist, record_schedule, get_connected_agents, get_instructions) and overlapping entry points (run_agent_chef, next_actions) inflate the count and could be consolidated without losing capability.

Completeness4/5

The full weekly lifecycle is covered end-to-end: propose, vote, feedback, add candidates, lock in, shop, order, cook, rate, and mark done. Recipe, member, ingredient, and preference management all have solid get/update/create coverage. Minor gaps include no way to delete a recipe, remove a candidate from an active ballot, or cancel a week beyond reopen_voting, but these are work-aroundable and don't create dead ends.

Resources