Skip to main content
Glama
zai-one

arsenkin-mcp

by zai-one

arsenkin_prepare

Generate a bounded approval by supplying a profile and payload, so trusted policy can return typed server acceptance before submitting SEO jobs.

Instructions

Create a bounded approval; trusted policy may return typed server acceptance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYes
profileYes

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

C2.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates that the tool creates something and may return a typed server acceptance, but it does not disclose whether this is a state-changing approval, whether it can expire or be revoked, whether it must be followed by submit, or what side effects occur. The phrase 'bounded approval' is too vague to provide real transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and opens with an action verb, which is good for front-loading. However, its few words are spent on cryptic terminology ('bounded approval', 'trusted policy') rather than useful explanatory content, so conciseness comes at the expense of clarity.

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?

With no annotations, no parameter semantics, and an open-ended payload, the description is not complete enough for an agent to safely invoke the tool. The presence of an output schema helps explain return values, but it does not compensate for the missing context about how to fill the payload, what role this plays in the prepare/submit workflow, or what behavior to expect after creation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no meaning for the two parameters, 'profile' and 'payload'. The payload is a free-form object with additionalProperties allowed, yet the description gives zero guidance on what keys or values it should contain. This is a critical gap because the agent cannot construct a correct request from the given information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description contains a specific verb and resource in 'Create a bounded approval', which is more than a tautology. However, 'bounded approval' is jargon and the added clause about 'trusted policy may return typed server acceptance' obscures rather than clarifies what the tool does. It does not distinguish this from siblings like arsenkin_batch_prepare or arsenkin_submit.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention the relationship to other workflow steps such as batch_prepare, submit, cancel, or status checks, leaving the agent to infer the tool's position in the process.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/zai-one/arsenkin-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server