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zai-one

arsenkin-mcp

by zai-one

arsenkin_batch_estimate

Estimate and price a multi-request SEO batch before submission. Plan and combine requests to preview costs without a live API call.

Instructions

Plan, coalesce and price a multi-request batch without a live call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.2.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully discloses that the tool works 'without a live call,' suggesting a non-executing estimation behavior, but it does not clarify side effects, prerequisites, or validation behavior, and the term 'coalesce' is vague.

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?

The description is a single front-loaded sentence with no filler, efficiently conveying the core function. It loses one point because 'coalesce' is jargon that is not explained, slightly reducing clarity without adding structural benefit.

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

Completeness2/5

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

Despite having only one parameter and an output schema, the tool's input format is not adequately specified: 'requests' is completely undocumented in both the schema and description. An agent could not confidently construct a valid request without additional context, so the description is not self-sufficient.

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%, so the description must compensate by explaining the 'requests' parameter. It only implies that the parameter is a multi-request batch array; it does not specify the required shape of each request object, what fields are expected, or how requests are 'coalesced.'

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 states a clear operation ('Plan, coalesce and price') applied to a specific resource ('a multi-request batch'), which conveys the tool's purpose. It distinguishes itself from the singular 'arsenkin_estimate' sibling by the explicit 'multi-request batch' scope, though it does not name the alternative directly.

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 phrase 'multi-request batch' clearly signals this is the tool to use when estimating multiple requests, and 'without a live call' indicates it is for planning/pricing rather than submission. However, it stops short of explicitly naming alternatives or stating when not to use sibling tools such as 'arsenkin_batch_submit' or 'arsenkin_estimate'.

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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