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NeuralVerge Business Intelligence

Avito Seller

run_avito_sellers

Get an Avito seller (brand page) by slug or URL: name, type, rating, review count, followers, active listing count, registration date and badges. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sellerYesBrand slug or URL. e.g. steve

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context by stating the flat cost ('Flat 5 points per successful run') and the fields returned. However, it does not disclose authentication needs, rate limits, error behavior, or whether the operation is strictly read-only, leaving significant gaps for an annotation-free tool.

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 efficient sentence, front-loading the action and resource, then listing returned fields and cost. Every element earns its place and there is no redundancy or 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?

Given the simple read-only nature, full schema coverage of the lone parameter, and the absence of an output schema, the description is nearly complete: it explains the input method and enumerates the return fields. It falls short only by omitting any operational context such as failure modes or rate limits, but those are arguably minor for this tool type.

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 100% and the single parameter already includes a description and example ('Brand slug or URL. e.g. steve'). The tool description repeats the 'slug or URL' phrasing but adds no syntax, format, or edge-case details beyond the schema, so the baseline 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 states a specific verb and resource: 'Get an Avito seller (brand page) by slug or URL'. It also enumerates the returned fields, which distinguishes it clearly from sibling tools like run_avito_items or run_avito_categories. An agent can tell exactly what this tool does without opening the schema.

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?

The description gives no explicit guidance on when to use this tool versus alternatives such as run_avito_items_search or run_avito_items. It implies the use case (fetch a seller given a slug or URL) but never states conditions, prerequisites, or exclusions. This is comparable to the calibration example where 'Update shared drive settings...' received a 2.

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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