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AdeiTamayo

Wallapop MCP Server

by AdeiTamayo

Scan multiple searches for phone candidates

scan_products

Scan multiple Wallapop searches, dedupe results, filter to in-range shippable listings, and flag suspicious items for verification.

Instructions

Runs several keyword searches (default nationwide radius) and dedupes results, keeping only in-range, shippable listings and flagging suspicious ones (scam wording or book-slug retitled listings). Returns compact candidate list, ready for get_listing/verify.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesYesKeyword/price-range combos to scan (deduped across queries)
distanceKmNoSearch radius in km (default 1500 = all Spain)
maxResultsPerQueryNoMax results per query (default 200)
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden and does a good job: it discloses deduplication, default nationwide radius, filtering to in-range/shippable listings, and suspicious-item flagging. It does not explicitly state that no data is modified, but 'scan' and 'returns compact candidate list' strongly imply a read-only pipeline.

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?

Two dense sentences cover the entire behavior without wasted words. The description is front-loaded with the core action and then provides filtering details and the downstream purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity, no annotations, and no output schema, the description is complete enough: it states input behavior, filtering logic, output type, and downstream usage. It does not detail edge cases, but the essential context for selecting and invoking the tool is present.

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?

Schema coverage is 100%, so the schema already documents all parameters. The description adds modest value by explaining the default nationwide radius and the purpose of deduplication, which aligns with the queries array, but it does not add meaningful syntax or format details beyond the 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?

The description uses a specific verb and resource: 'Runs several keyword searches' for phone candidates, and clearly distinguishes itself from a basic search by mentioning deduplication and filtering. It also differentiates from siblings by explicitly stating the output is ready for get_listing/verify.

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 when to use this tool: when multiple keyword/price searches are needed and results should be deduped and filtered into a candidate list. It names downstream tools (get_listing/verify) but does not explicitly contrast with search_products or state 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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