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MisarSEO MCP Server

get_link_intersect

Idempotent

Finds the domains that link to 2–4 of the project's competitors but NOT to the project itself. Every row is a site that has already demonstrated it will link to something in this space, which is what makes it the most actionable backlink report there is. CHARGES CREDITS — the most expensive call in the backlinks surface: one referring-domains lookup per request, 5 of them paging the project's OWN referring domains plus 1 per competitor, so one run costs up to 9 upstream requests of 1000 domains each. Every request is cached per organization+target+page, so re-running the same intersect with a different threshold, proof filter or sort is FREE — do that rather than issuing a new run, and confirm with the user before sweeping several competitor sets. UNAVAILABLE ON THE FREE DATA PROVIDER: a backlink graph needs a proprietary web-scale crawl index, so a deployment on the free provider answers with unavailable: true, a reason, and no rows. totalRows, provenRows and unprovenRows are 0 on that response and are NOT measurements — they travel beside the flag precisely so an empty table is never read as an answer. Check unavailable before rows, and never report an unavailable run as 'no opportunities exist'. absence has two states that must NOT be conflated. proven means our own referring-domain read ruled the domain out, so "does not link to us" is a measurement. unproven means our read was cut off at or above that domain's authority, so it may already link to us and nothing was established — never present an unproven row as a confirmed opportunity. provenRows is the headline count and excludes them by construction. absenceBound says which regime applies: complete (our whole profile was read) or authority-floor with the authorityFloor strictly above which absence is evidence. coverage[] is the per-target ledger — domainsRead, the provider's domainsTotal, requestsSpent/requestBudget, truncated, authorityFloor, and a per-target unavailable/unavailableReason. A competitor cell's found: false only means 'does not link to them' when that competitor's coverage is not truncated. The project's own domain is read from the project record and cannot be passed in — if the project has no domain the call fails with a validation error telling the user to set one. minCompetitors is clamped to the number of competitor domains that actually resolved (duplicates and the project's own domain are dropped); compare it with minCompetitorsRequested before calling a run empty. At most 200 rows are returned; totalRows is the real match count. There is deliberately no composite opportunity score and no subdomain toggle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesRequired. The MisarSEO project ID to scope this call to. Get one from list_projects.
sortFieldNoSort column: 'competitors' (default), 'authority' or 'linkingPages'. All three are values the provider measured — there is deliberately no composite opportunity score. Re-sorting a run reuses the cached lookups and costs nothing.
sortOrderNoSort direction. Defaults to 'desc'.
minCompetitorsNoKeep only domains linking to at least this many of the compared competitors. Defaults to 2, and is clamped to the number of competitors that actually resolved — compare `minCompetitors` against `minCompetitorsRequested` on the result before calling a run empty.
includeUnprovenNoInclude rows whose absence from our own profile could not be proven. Defaults to true — leave it true: unproven rows are labelled rather than hidden, and excluding them silently drops real candidates.
competitorDomainsYes2–4 competitor domains (bare domain or full URL). Each one is a separate billable referring-domains lookup, so pick the rivals actually being chased. 2 is the floor because with a single competitor this degenerates into a one-sided referring-domain diff, not an intersect. The project's own domain is added automatically and is dropped from this list if it appears here.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations cover safety/idempotency, but the description adds the cost model (1 referring-domains lookup per request, up to 9 upstream requests, 1000 domains each), the per-org+target+page cache semantics, and a detailed contract for unavailable, proven/unproven absence, truncation and coverage[] ledger.

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?

Front-loaded: purpose and credit cost come first, then edge-case semantics. It is dense and long, but nearly every clause carries a distinct operational fact; the backtick-heavy clause stacking occasionally slows reading.

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

Completeness5/5

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

Complete for a tool with no output schema: it explains what the response fields mean (totalRows, provenRows, unprovenRows, absence, absenceBound, coverage[]) and the 200-row limit, plus the validation failure when the project has no domain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are already documented; the description still adds value by explaining why minCompetitors is clamped and must be compared with minCompetitorsRequested, why 2 is the floor for competitorDomains, and that each competitor costs a separate lookup. It complements rather than duplicates the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource+scope: domains linking to 2–4 competitors but not the project. It is immediately distinguishable from siblings like get_backlinks_overview, get_unlinked_mentions_report and get_keyword_gap.

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

Usage Guidelines5/5

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

Explicit when-to-use (cached re-runs with different threshold/proof filter/sort are free, so prefer re-running over a new run), when to seek confirmation (confirm before sweeping several competitor sets), and when-not-to expect data (free data provider returns unavailable).

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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