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get_deals

Find community-vetted deals from Slickdeals RSS by search query or category, returning titles, prices, stores, URLs, and votes.

Instructions

Community-vetted deals from Slickdeals RSS (US). data: [{title, price, store, url, votes}].

Input Schema

NameRequiredDescriptionDefault
queryNo
categoryNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the data provenance (Slickdeals RSS) and region (US), which is genuinely useful, but says nothing about freshness, rate limits, caching, or whether the feed is live versus static. For a zero-annotation tool this leaves the mutation/read profile and operational constraints largely undisclosed.

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?

Two short sentences, front-loaded with the source and scope, then the payload shape. Nothing is padded or redundant, though the return-shape fragment is arguably unnecessary given an output schema exists.

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?

An output schema exists so return values needn't be spelled out, yet the description repeats the data shape anyway. What is missing is more consequential: no parameter semantics, no freshness or scope caveats beyond 'US'. It is minimally viable for a two-optional-parameter read tool but not fully informative.

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% and neither of the two parameters (query, category) is mentioned in the description. With low coverage the description is expected to compensate, but it provides no meaning, format, or filtering behavior for either parameter, leaving the agent to guess how query and category affect results.

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 names a specific resource and source: community-vetted deals from Slickdeals RSS (US). This is enough to distinguish it from siblings like search_products, compare_prices, and get_price_history, which operate on broader product/price data. The verb is only implied by the tool name, but the resource and scope are concrete.

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 choose this tool over search_products or compare_prices, nor any stated preconditions or exclusions. The only implicit signal is the 'Slickdeals RSS (US)' scope, which an agent must infer as a usage boundary on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.