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Ashley Payne, technical co-founder and fractional CTO

Read one case study in full

get_case_study
Read-only

Full detail for one engagement: the situation, what was built, the engineering decisions and why they were made, the stack, and where there is one, the commercial outcome in indexed figures.

Input Schema

NameRequiredDescriptionDefault
slugYesCase study slug from list_work, e.g. 'coding-education'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description usefully adds the scope of returned content and flags that the commercial outcome is optional ('where there is one'), but it says nothing about pagination, error behavior for an unknown slug, or size of the payload.

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?

A single sentence, front-loaded with the core promise ('Full detail for one engagement') and then a tight enumeration of the payload sections. No filler, no restatement of the name or title.

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?

With no output schema, the description correctly compensates by describing the returned fields, and the schema covers slug sourcing. It is essentially complete for a one-parameter read tool; only error/edge behavior for invalid slugs is unstated.

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?

Schema description coverage is 100% for the single slug parameter, including an example value and its source (list_work), so the schema carries the parameter meaning. The description adds nothing about the parameter, making the baseline 3 appropriate.

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+resource ('Full detail for one engagement') and enumerates exactly what the record contains: situation, what was built, engineering decisions, stack, commercial outcome. It implicitly contrasts with a listing tool but never names a sibling like list_work, so full sibling differentiation is absent.

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?

Usage is only implied: the schema field description says the slug comes 'from list_work,' which tells the agent this is the detail-fetch step after a listing call, but the description itself gives no when-to-use or when-not-to-use guidance and no alternatives.

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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