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Portfolio MCP | Benjamin Nikolajew

Fetch Curated Page Context

fetch_curated_page_context
Read-onlyIdempotent

Fetches and extracts approved first-party or official-domain HTML pages for page-level evidence. Supply query, urls, or the legacy singular url; when query is omitted, a bounded query is derived from the approved URL path. Changelog rows support bounded rowLimit/rowOffset pagination with truthful matching counts.

Input Schema

NameRequiredDescriptionDefault
urlNo
urlsNo
queryNo
domainsNo
maxPagesNo
rowLimitNo
rowOffsetNo

Output Schema

NameRequiredDescriptionDefault
noteYes
pagesYes
queryYes
hasMoreYes
rowOffsetYes
totalRowsYes
totalPagesYes
generatedAtYes
rejectedUrlsYes
returnedRowsYes
aiDisclosuresYes
totalSnippetsYes
allowedDomainsYes
totalMatchingRowsYes
aiDisclosureProvenanceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive, and open-world, so the safety profile is settled. The description adds real value beyond that: HTML extraction, the derivation of a bounded query from an approved URL path, and pagination over changelog rows with accurate matching counts. It omits any note on rate limits or failure behavior for non-approved domains.

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?

Three tight sentences, front-loaded with what the tool returns and followed by input modality and pagination. Little waste, though 'truthful matching counts' is vague phrasing that could be more concrete.

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?

An output schema exists, so return values need no prose, and annotations handle the safety story. Still, for a seven-parameter, multi-modal tool, the unaddressed domains and maxPages parameters leave a real gap an agent would hit when narrowing a fetch.

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 0%, so the description must carry the load, and it only partly does: it explains the url/urls/query alternatives and the rowLimit/rowOffset pagination intent. It says nothing about domains (allowlist filtering) or maxPages (crawl breadth cap), leaving two of seven parameters undifferentiated from their bare types.

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 pair (fetches and extracts) plus the resource (approved first-party or official-domain HTML pages) and the purpose (page-level evidence). That distinguishes it reasonably from search_first_party_context, though no sibling is named explicitly, so the boundary with get_first_party_context is left to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description spends its guidance on input modality (query vs urls vs legacy url) rather than when to choose this tool over search_first_party_context, get_first_party_context, or get_changelog. No when-not conditions or prerequisites are given, so an agent still cannot confidently route between the several context-fetching siblings.

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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