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List ProjectThunder case studies

list_case_studies
Read-onlyIdempotent

Projects from ProjectThunder's portfolio: the client, the platform (Sana Commerce, BigCommerce, DynamicWeb, mobile, AI), the industry, the ERP where the site names it, and what was built. Optionally filter by platform or by a word such as an industry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordNoOptional word to match in the industry, client name or description, for example "food" or "distribution".
platformNoOptional platform filter, for example "BigCommerce" or "Sana Commerce".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYes
countYes
caseStudiesYes

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, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context about the returned fields and optional filtering, but it does not disclose ordering, pagination, or result limits. This is acceptable given the annotations but not exceptional.

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 concise sentences with no filler. It front-loads the core content of the tool and then states the filtering options. Every phrase contributes useful information.

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 simple read-only list tool with an output schema, the description covers the returned content and the two optional filters. It is complete enough for an agent to call correctly. A small gap is the lack of any guidance about sibling tools, but this is not critical given the clarity of the resource.

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%, so the schema already documents both parameters well. The description restates that filtering is optional by platform or keyword but adds no new semantic detail beyond the schema. Baseline 3 is 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?

The description clearly states the resource: ProjectThunder portfolio case studies, and enumerates the fields returned (client, platform, industry, ERP, what was built). It is distinct from sibling tools like list_articles and list_pages because it focuses specifically on case studies, though it does not explicitly name a sibling.

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?

The description implies when to use the tool: to list portfolio case studies, optionally filtered by platform or keyword. However, it does not explicitly state when to prefer this over alternatives such as list_articles or search_site, nor does it mention any exclusions or prerequisites.

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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