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jasp-nerd

marktplaats-mcp

Check new listings

check_new_listings
Read-onlyIdempotent

Poll for new listings placed after a specified timestamp. Use the returned cursor to incrementally fetch only genuinely new listings on subsequent calls.

Instructions

Poll for listings placed after a given moment (newest first, paid promotions filtered out). Stateless: store the returned 'cursor' and pass it as 'since' on the next call to only see genuinely new listings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteNoWhich marketplace: marktplaats (Netherlands) or 2dehands (Belgium).marktplaats
limitNoMax new listings to return (1-100).
queryNoFree-text search, e.g. 'racefiets' or 'iphone 15'. May be empty if a category is given.
sinceNoISO 8601 timestamp (e.g. '2026-07-15T09:00:00Z'); only listings placed after this moment are returned. Defaults to 24 hours ago. Pass the 'cursor' from the previous call to poll incrementally.
categoryNoTop-level category name (Dutch, e.g. 'Fietsen en Brommers') or numeric id. See list_categories.
postcodeNoDutch/Belgian postal code to search around, e.g. '1011 AB' or '2000'. Required for distance filtering.
price_toNoMaximum price in euros.
conditionNoFilter by item condition.
price_fromNoMinimum price in euros.
distance_kmNoMax distance from postcode in kilometers.
subcategoryNoSubcategory name (e.g. 'Fietsen | Racefietsen') or numeric id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

The description adds significant behavioral context beyond annotations: statelessness, cursor mechanism, paid promotions filtering, and incremental polling. No contradictions with annotations.

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 sentences, no wasted words. The first sentence states the primary purpose, the second explains the critical usage pattern. Front-loaded and efficient.

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 complexity (11 params, output schema), the description covers the core novel aspects (cursor/polling, paid filtering). The schema handles parameter details, output schema covers returns. Complete for the agent's needs.

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% with thorough parameter descriptions. The tool description adds overall context (polling flow) but does not significantly enhance individual parameter meaning. Baseline 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 the verb 'poll' and the resource 'listings', with specific behaviors: newest first, paid promotions filtered out, and cursor-based incremental polling. It effectively distinguishes from sibling tools like search_listings.

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 provides a clear usage pattern: store cursor and pass it as 'since' for next call. However, it does not explicitly contrast with search_listings or state when not to use this tool, though the context of sibling tools offers some guidance.

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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