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Nadeus

toolradar-mcp

by Nadeus

get_pricing

Retrieve detailed pricing for any software tool: view tiers, pricing model (free/freemium/paid), free trial availability, and expert verdict.

Instructions

Get detailed pricing information for a software tool including tiers, pricing model (free/freemium/paid), free trial availability, and expert pricing verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesTool slug (e.g. 'figma', 'github')
Behavior3/5

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

With no annotations, the description carries the full transparency burden. It discloses the kinds of information returned (tiers, pricing model, trial, verdict), but lacks detail on behavior such as error handling for unknown slugs, response format, or whether authentication is required. This partial disclosure is acceptable but not comprehensive.

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?

The description is a single, front-loaded sentence that efficiently conveys the tool's purpose and the key output categories. Every word earns its place, with no redundancy or unnecessary detail.

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 simple single-parameter lookup, the description covers the main output areas effectively. However, the absence of an output schema makes the lack of explicit mention of edge cases (e.g., unknown slug behavior) or the return structure a minor gap. Overall, it is sufficiently complete for most use cases.

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?

The input schema fully describes the sole parameter 'slug' with an example, achieving 100% schema coverage. The description adds no additional parameter-specific semantics, so the baseline score of 3 is appropriate.

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?

The description clearly states that the tool retrieves detailed pricing information, listing specific content such as tiers, pricing model, free trial availability, and expert verdict. This effectively distinguishes it from sibling tools like get_tool or compare_tools by focusing uniquely on pricing details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than explicit. The description suggests using this tool when pricing information is needed, but it does not provide explicit guidance on when to prefer it over get_tool or other alternatives, nor does it mention when not to use it.

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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