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Get Portfolio Works

get_portfolio
Read-only

Retrieves client case studies and engineering projects. Supports optional search query (by company name or topic) and limit parameter.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_portfolio"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of works to return (default: 10, max: 50).
queryNoOptional company name, client name, or project keyword (e.g., Arbor, Morgenlevering, JobQualified, Northwind).

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, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds a little (optional filtering, a cap on results via the schema) but says nothing about ordering, pagination beyond limit, or the shape of returned works, which are the behaviors an agent would still wonder about.

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?

Two short sentences with the purpose front-loaded and the capability clause second; there is no filler, hedging, or repetition of the 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?

For a simple two-parameter read-only listing tool with full schema coverage and safety annotations, the description covers the essentials. The remaining gap is sibling differentiation and result shape, which is modest given the tool's low complexity and lack of an output schema.

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 coverage is 100%, so both parameters are fully documented in the schema itself, making 3 the baseline. The description's gloss ("by company name or topic") roughly restates the schema's "company name, client name, or project keyword" and adds no syntax or matching-behavior detail beyond it.

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 ("Retrieves") and resource ("client case studies and engineering projects"), so the agent knows this returns a collection of works. However, it never distinguishes itself from the sibling get_case_study, leaving it unclear whether this is the list-everything variant or overlaps with the single-item fetch.

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 word "optional" signals both params can be omitted and implies a no-arg listing mode, which is useful usage context. But there is no explicit when-to-use guidance, no exclusion of alternatives like get_case_study, and no statement of what to expect when query is omitted versus supplied.

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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