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Brent Burgess

List everything published

list_content
Read-onlyIdempotent

Every post, case study and page the server can read, newest first, with each one’s sections. Filter with kind ("post", "case_study" or "page"). Pass an id to fetch to read it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoOnly this kind: post, case_study or page

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesHow many items are listed
itemsYesPosts and case studies newest first, then pages

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description still adds useful behavior beyond the annotations: results come back 'newest first' and each item includes its 'sections'. It omits any pagination or result-size limits.

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?

Two compact sentences with the scope and ordering front-loaded; nothing is padded. The second sentence is slightly garbled and could be read as describing this tool's parameters rather than the fetch tool's.

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?

An output schema exists, so return values need no explanation, and the description covers filtering, ordering and included sections. The residual gap is the ambiguous 'id' reference and no mention of result limits for a tool that lists everything.

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 coverage is 100% and the single 'kind' enum is fully documented in the schema, so the description's restatement of the enum values adds nothing. Worse, it introduces an 'id' argument that does not exist in the schema ('Pass an id to fetch to read it'), which could mislead an agent into passing an unsupported parameter.

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?

States a specific verb and resource set ('Every post, case study and page the server can read') plus scope and ordering ('newest first'). It is clearly distinguishable from siblings like search or query_dataset, though it never names them to make the contrast explicit.

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

Usage Guidelines3/5

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

'Filter with kind' and 'Pass an id to fetch to read it' imply when to use this tool versus the fetch tool for reading a single item, which is real routing guidance. However the phrasing is ambiguous — 'an id' is not a parameter of this tool — and there is no guidance on when to prefer search over listing.

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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