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openpeoplerouter

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by DINQ-labs

people_identity_resolve

Resolve a person's identity across platforms: submit any known profile link, handle, or email, and retrieve all linked profiles from LinkedIn, GitHub, X, Scholar, and more.

Instructions

Identity resolution: one person's profiles across platforms, resolved into a single set. Give any one of them — LinkedIn, GitHub, X, Hugging Face, Scholar, an email — and get the rest. Use vendor to pin a provider. Returns outcome, normalized output, raw provider data and _meta.tried. Provider API charges are billed directly to your provider account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoA work email address
domainNoThe employer's domain, no www and no @
vendorNoPin one vendor or endpoint id instead of routing
companyNoThe employer's name
x_handleNo@handle, or https://x.com/<handle>
full_nameNoThe person's full name
last_nameNoFamily name; pair it with first_name
waterfallNoFalse stops at the first vendor instead of trying the next
first_nameNoGiven name; pair it with last_name
github_urlNohttps://github.com/<login>
scholar_urlNohttps://scholar.google.com/citations?user=<id>
linkedin_urlNohttps://www.linkedin.com/in/<slug>
huggingface_urlNohttps://huggingface.co/<login>
linkedin_handleNoThe <slug> from a LinkedIn URL, without the /in/

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the return shape ('outcome, normalized output, raw provider data and _meta.tried') and a significant behavioral trait: 'Provider API charges are billed directly to your provider account.' This goes beyond a basic one-liner, though it doesn't cover every operational behavior such as rate limits or failure semantics.

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?

The description is three tightly packed sentences with no filler. It front-loads the core concept, then gives input requirements, references the vendor option, and lists output components and billing context. Every sentence earns its place.

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?

Given a 14-parameter tool with full schema coverage and an output schema present, the description covers the essential usage narrative: what the tool does, what it returns, how to constrain provider selection, and a billing caveat. It is slightly incomplete in not differentiating from nearby sibling tools, but overall it is sufficient for an agent to invoke correctly.

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 100%, so each of the 14 parameters is already documented in the input schema. The description adds the high-level insight that providing any one identifier is sufficient to resolve the rest, but it does not add per-parameter meaning beyond what the schema already provides. Baseline 3 is appropriate.

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?

The description uses a specific verb phrase ('Identity resolution') and states the exact resource: one person's profiles across platforms resolved into a single set. It clearly defines the input/output contract ('Give any one of them... and get the rest') and distinguishes itself from sibling tools like people_search or social_profile by focusing on cross-platform merging rather than search or enrichment.

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

Usage Guidelines4/5

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

The description gives clear context: use this tool when you have any one profile identifier (LinkedIn, GitHub, X, etc.) and need the full consolidated set. It also notes the optional 'vendor' parameter to pin a provider. It does not explicitly list when-not-to-use or name alternatives like people_search/people_enrich, so it misses an explicit exclusion clause.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.