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List curated packs

list_packs
Read-onlyIdempotent

Curated bundles of offers (e.g. AI startup launch pack, LLM API free tier pack, voice AI pack) with each pack's headline and up-to total where one is computed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds that each pack carries a headline and an 'up-to total where one is computed', which hints at the returned shape, but it says nothing about ordering, pagination, or how complete the listing is. With annotations carrying the safety burden, a 3 is appropriate.

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?

A single sentence that front-loads the core definition and then qualifies the return content. It is dense with examples but none are wasted. Slightly more readable if split, but appropriately sized.

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?

For a zero-parameter, read-only listing tool with no output schema, the description does enough: it explains what a pack is and what fields accompany each entry. Missing only ordering/pagination hints and a pointer to get_pack for details, but nothing an agent needs to invoke it is absent.

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?

The tool takes zero parameters, so the baseline of 4 applies. The description correctly implies a bulk listing with no filtering knobs, matching the empty schema, and adds no misleading parameter claims.

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 state the resource clearly — curated bundles of offers — and grounds it with concrete examples (AI startup launch pack, LLM API free tier pack). Combined with the name 'list_packs', the purpose is unambiguous. It stops short of differentiating from the singular sibling get_pack, but the verb/resource pairing is solid.

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 indication of when to use this tool versus siblings like get_pack, early_offers, or find_credits. No prerequisites, no exclusions, no alternatives are named. The agent must infer from the name alone that this retrieves all packs in bulk.

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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