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Portfolio MCP | Benjamin Nikolajew

List Portfolio Projects

list_portfolio_projects
Read-onlyIdempotent

Returns 21 curated portfolio entries: 20 public design case studies plus SAE Engineering, with optional filters, visuals, and randomized discovery. Music is available through get_music.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNo
aiFilterNoany
categoryNo
randomizeNo
excludeSlugsNo
onPublicGridNo
includeSummaryNo
includeVisualsNo
includeCaseSignalsNo
maxVisualsPerProjectNo

Output Schema

NameRequiredDescriptionDefault
sourceYes
filtersYes
projectsYes
generatedAtYes
totalMatchesYes
visualSourceYes
totalProjectsYes
remainingMatchesYes
caseSignalsSourceYes
preExclusionMatchesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare this is read-only, idempotent, non-destructive, and closed-world. The description adds useful dataset context such as the fixed count, curation, and music routing, but does not explain pagination, limit behavior, or how the filters affect results.

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?

The definition is front-loaded and compact: the first sentence states what is returned and the second routes music queries elsewhere. There is little waste, though the sparse treatment of filter parameters limits usefulness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list tool with 11 undocumented parameters, the description is too thin. The output schema can cover return values, but the description should do more to explain the filter and inclusion parameters that materially change behavior.

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?

There are 11 parameters and 0% schema description coverage, so the description must do the explaining. It vaguely refers to optional filters, visuals, and randomized discovery, but leaves query, category, aiFilter enum values, limit, excludeSlugs, onPublicGrid, includeSummary, includeCaseSignals, and maxVisualsPerProject undocumented.

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 states a specific resource and scope: 21 curated portfolio entries, including 20 public design case studies plus SAE Engineering. It distinguishes the tool from get_music explicitly, but does not clarify how it relates to detail-oriented siblings such as get_project_by_slug or get_project_artwork_gallery.

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?

It gives one clear alternative for music via get_music, but does not say when to use this list tool versus get_project_by_slug, get_project_artwork_gallery, or search_project_notes. Usage is only implied by phrases like 'optional filters' and 'randomized discovery.'

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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