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Portfolio MCP | Benjamin Nikolajew

Get Privacy Policy

get_privacy_policy
Read-onlyIdempotent

Returns grounded privacy and data-handling answers for nikolajewdesign.ca, Portfolio Agent, WebMCP, and agent integrations: what is collected, how prompts are processed, where data is sent, providers, security, retention, and rights. Always includes a direct link to the full privacy policy.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNo
topicsNo

Output Schema

NameRequiredDescriptionDefault
sourceYes
filtersYes
sourcesYes
operatorYes
sectionsYes
policyUrlYes
generatedAtYes
totalMatchesYes
effectiveDateYes
totalSectionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds the useful behavioral claim that answers are 'grounded' and that a direct link to the full policy is always included, but says nothing about what happens when no match is found, pagination, or result shape beyond the link.

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?

A single front-loaded sentence that leads with the verb and resource, then enumerates coverage and closes with the return-value promise. The colon list is dense but every element conveys scope; no filler sentences.

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

Completeness3/5

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

For a read-only retrieval tool with an output schema and full annotation coverage, the description covers purpose and the guaranteed return artifact (policy link) adequately. The material gap is the complete absence of parameter guidance across three undocumented inputs, which an agent needs in order to call it correctly.

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 description coverage is 0% for all three parameters, so the description must carry the burden — but it never mentions 'query', 'limit', or how 'topics' is structured. The topic enumeration ('what is collected, how prompts are processed, where data is sent, providers, security, retention, rights') is a partial hint at valid topic values, which is the only substantive parameter guidance offered and leaves limit/query semantics unexplained.

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 verb and resource ('Returns grounded privacy and data-handling answers') and enumerates the scope of the corpus (nikolajewdesign.ca, Portfolio Agent, WebMCP, agent integrations) plus the covered question areas. An agent can tell this is a privacy/data-handling Q&A retrieval tool, though it never names a sibling like search_first_party_context to distinguish itself from general context search.

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 enumerated topics (what is collected, prompts, retention, rights) signal the kinds of questions to route here, but there is no explicit when-to-use statement, no exclusions, and no mention of when to prefer search_first_party_context or get_first_party_context instead.

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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