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modesty

Fluent MCP Server

by modesty

get-instruct

Read-onlyIdempotent

Fetch instructions and guidance for creating ServiceNow metadata types using the Fluent API, including patterns, conventions, and common pitfalls.

Instructions

Fetch instructions and best practices for creating a ServiceNow metadata type using the Fluent API (e.g., "business-rule", "script-include"). Provides guidance on patterns, conventions, and common pitfalls. For API specifications, use get-api-spec. For code examples, use get-snippet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metadataTypeYesServiceNow metadata type (e.g., business-rule, script-include)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe resource content (markdown).
snippetIdNoThe returned snippet id (snippets only).
metadataTypeNoThe ServiceNow metadata type, when a specific resource was returned.
resourceTypeYesResource type: spec | snippet | instruct.
availableTypesNoAll available metadata types (listing mode).
additionalSnippetIdsNoOther available snippet ids (snippets only).
Behavior4/5

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

With annotations already declaring readOnlyHint=true and idempotentHint=true, the description need not repeat safety traits. It adds valuable context about what guidance is provided (patterns, conventions, common pitfalls), going beyond a generic summary and giving the agent an accurate expectation of the tool's output.

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 two sentences, front-loaded with the core purpose, and every clause serves a purpose. It avoids redundancy and formatting issues, making it easy to parse quickly.

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 a single parameter, an output schema, and clear sibling differentiation, the description fully covers the essential context. The alternatives are explicitly named, and no additional return-value explanations are needed since an output schema exists.

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?

The schema covers 100% of the parameter with a description ('ServiceNow metadata type (e.g., business-rule, script-include)'). The description repeats the same example but adds no additional semantic detail beyond what the schema already provides, so baseline 3 is appropriate per the rubric.

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 uses a specific verb ('Fetch') and resource ('instructions and best practices for creating a ServiceNow metadata type using the Fluent API'), and clearly distinguishes from siblings by naming get-api-spec and get-snippet as alternatives. This makes the tool's unique purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool (for instructions/best practices) and provides direct alternatives: 'For API specifications, use get-api-spec. For code examples, use get-snippet.' This gives clear guidance on choosing between related tools.

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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