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Service lines

get_service_lines
Read-onlyIdempotent

WildRun AI’s one service — managed SEO + AEO + GEO for businesses in Bend and Central Oregon — with its page, scope-and-pricing section, free audit request and contact page. Managed work is scoped and quoted after the free audit. Page URLs also answer 'Accept: text/markdown'.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds one genuine behavioral detail beyond that — page URLs also honor 'Accept: text/markdown' content negotiation — but says nothing about response shape, size, or whether multiple pages are returned.

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?

A single sentence with the resource identity front-loaded and the content attributes trailing. It is slightly run-on and carries marketing framing ('WildRun AI's one service'), but no sentence is pure padding.

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?

For a parameterless, read-only content fetch with no output schema, the description tells the agent what the returned content covers and how it can be retrieved (markdown negotiation). Annotations cover the safety profile, so nothing essential is missing.

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

Parameters4/5

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

The tool takes zero parameters and the schema is a closed empty object, so there is nothing for the description to disambiguate. Baseline 4 applies.

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 enumerates what the resource contains (page, scope-and-pricing section, free audit request, contact page) but never states the action — there is no verb like 'returns' or 'retrieves'. It is distinguishable from get_article/list_articles only by subject matter (service lines vs. articles), not by an explicit scope statement.

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 call this versus get_article or list_articles, and no mention of prerequisites or exclusions. The only usage-adjacent line — 'Managed work is scoped and quoted after the free audit' — is content context, not a selection rule.

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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