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Vermarco

update_listing

Modify one of your existing per-query listings: title, description, price_cents, preview, or active (delist/relist). Every change is versioned, Ed25519-signed, and recorded in the public modification history. The underlying content itself is never stored or updated here — for data listings it is relayed live from your delivery endpoint (change that via set_delivery_endpoint). Returns the updated listing plus a signed modification receipt. Requires your seller api_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNo
activeNoSet false to delist, true to relist.
reasonNoOptional note recorded in the public audit trail.
api_keyYesYour vm_live_ API key (must own the listing)
previewNoReplacement buyer-facing preview sample.
listing_idYesThe listing to modify
descriptionNo
price_centsNoNew per-query price in integer cents (0 = free)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses versioning, Ed25519 signing, public modification history, that content is not stored/updated, and the return value (updated listing plus signed receipt). This is rich behavioral context beyond the simple 'modify' verb.

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?

Three sentences, each earning its place: scope and fields, versioning/authentication consequences, and return/auth requirement. Front-loaded with the action and fields, no filler.

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?

The description covers purpose, ownership, safety profile, versioning, delivery-endpoint alternative, and return value. Since there is no output schema, the mention of the return is useful, though a bit more detail on the receipt structure or required listing_id would make it fully complete.

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 description coverage is high (75%), so the schema already documents most parameters. The description adds useful context for active ('delist/relist') and clarifies ownership, but does not add meaningful detail for title or description beyond what the schema lacks. 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 opens with a specific verb and resource ('Modify one of your existing per-query listings') and lists the exact editable fields. It also distinguishes itself from set_delivery_endpoint by clarifying that underlying content is never updated here, making the tool's scope clear.

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 gives clear directional guidance, explicitly pointing to set_delivery_endpoint for changing underlying data content. It does not compare with the sibling deactivate_listing, but the active field covers delisting/relisting, so the usage context is mostly clear but not fully exhaustive.

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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