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Brent Burgess

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Read-onlyIdempotent

Full-text search over everything published: posts, case studies, the About, Consulting, Now, Privacy and Résumé pages (his work history is on the résumé), and the projects. Use plain keywords, such as "resumable upload" or "fixed-price audit". Each result is a section; pass its id to fetch to read it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoOnly this kind: post, case_study, page or project
limitNoHow many results to return, 1 to 10
queryYesKeywords to look for

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe query searched for
totalYesHow many sections matched in all
resultsYesThe best matches, best first

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered. The description adds the useful result-shape behavior (results are sections, ids feed fetch), but since an output schema exists the return structure is largely redundant. No rate limits or query-length constraints mentioned beyond the schema.

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?

Three sentences, front-loaded with scope, then keyword guidance, then the fetch handoff. The page enumeration is slightly long but each item earns its place by clarifying coverage. No 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?

For a search tool with an output schema, the description covers scope, input style, and the follow-up workflow, which is what an agent needs. Minor gaps: nothing about empty-result behavior or how `limit` truncates, though both are partly covered by the schema defaults.

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?

Schema coverage is 100%, so baseline is 3; the description earns a bump by illustrating query keyword style and implicitly mapping the searchable content to the `kind` enum values (posts, case studies, pages, projects). It does not, however, explain how `kind` or `limit` interact with results, which the schema already handles.

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?

States a specific verb and scope: 'Full-text search over everything published,' then enumerates exactly what is covered (posts, case studies, pages, projects). An agent can distinguish this from list_content/list_projects (enumeration) and fetch (single-section retrieval) 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 Guidelines4/5

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

Tells the agent how to phrase input ('Use plain keywords, such as "resumable upload"') and names the follow-up tool and its trigger ('pass its id to fetch to read it'). It also hints that work history lives on the résumé page. No explicit when-not to search guidance, so it stops short of a 5.

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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