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Times Rare

get_survey_results

Read the aggregate Times Rare demand-survey results. Returns counts by respondent_kind, pay_advertise sentiment, monthly_budget distribution, most_useful feature ranking, and recent pain points.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior3/5

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

Description states it returns counts but does not disclose any behavioral traits beyond that (e.g., read-only assumption, no side effects). No annotations exist, so burden is moderate.

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?

Single sentence listing return fields, no fluff. Purpose is front-loaded.

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?

Lists all major return dimensions. Lacks details like pagination or date range, but adequate for this simple read 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?

No parameters; baseline 4. Description adds meaning about output, compensating for lack of output schema.

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?

Description clearly states 'Read the aggregate Times Rare demand-survey results' with specific verb and resource. It lists the return fields, distinguishing it from sibling submit_demand_survey.

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 implies this is for reading (not submitting) results, but no explicit when-to-use or alternatives. Sibling names provide context.

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

A4/5.0
Disambiguation5/5

Each tool serves a distinct purpose: block discovery, pricing, claiming, reading, survey operations, and service listing. No two tools are ambiguous in their function.

Naming Consistency4/5

Most tools follow a verb_noun pattern (e.g., claim_block, get_block, list_services). The only outlier is 'price_check' which reverses the order, but it's still clear.

Tool Count5/5

8 tools is well-scoped for the canvas domain, covering discovery, pricing, claiming, surveys, and service listing without overcomplicating the surface.

Completeness4/5

Core workflows (discover, price, claim, survey, list services) are covered. Missing a tool to register or update services, but the overall surface feels complete for the intended use.

Resources