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mcp-server-apollo

by borgels

Bulk Enrich People (Apollo)

apollo_people_bulk_enrich
Read-onlyIdempotent

Bulk enrich up to 100 people with B2B data from Apollo by submitting their identifiers. Manages concurrency, retries, and isolates failures, emitting progress notifications.

Instructions

Enrich up to 100 people via Apollo in one call. Chunks into bulk_match calls of 10, fans out with bounded concurrency, retries HTTP 429, and isolates per-item failures. Returns { total, succeeded, failed, creditsConsumed, requestIds, results[] } with results in input order. CONSUMES CREDITS per enriched record and reveal flags apply to EVERY person — confirm total credit cost with the user first. Apollo rate-limits bulk_match hard (documented 20/min). revealPhoneNumber requires webhookUrl. Emits MCP progress notifications when the client sends a progressToken.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoOptional dot-path field projection to shrink the response — only these fields are returned per record. Descends nested objects and maps over arrays, e.g. ["id","name","primary_domain","primary_phone.number"]. Pass ["*"] for the full record.
detailsYesPeople to enrich. Each item needs at least one identifier.
webhookUrlNoPublic HTTPS endpoint Apollo POSTs phone numbers to. Required when revealPhoneNumber=true.
concurrencyNoParallel bulk_match calls, 1-4. Defaults to 2.
revealPhoneNumberNo
revealPersonalEmailsNo
Behavior5/5

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

The description adds significant behavioral context beyond the annotations: it consumes credits, applies reveal flags to every person, requires webhookUrl for phone reveal, respects Apollo's hard rate limit (20/min), and emits MCP progress notifications. Annotations (readOnlyHint, idempotentHint, destructiveHint) are consistent and the description enriches them with operational details.

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 description is moderate in length (few sentences) and front-loads the main action. Each sentence adds necessary detail (chunking, concurrency, retry, credit consumption, rate limits, progress notifications). Some redundancy exists (e.g., 'bounded concurrency' and explicit concurrency parameter), but overall efficient for the tool's complexity.

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?

Given no output schema, the description fully specifies the return format: { total, succeeded, failed, creditsConsumed, requestIds, results[] } with input order. It covers all behavioral aspects (rate limits, credit cost, per-item isolation, progress notifications). For a tool with 6 parameters, concurrency, and multiple constraints, this is exceptionally complete.

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 description coverage is 100% (all 6 parameters have descriptions), so baseline is 3. The description adds value by: clarifying credit consumption tied to reveal flags, explaining that results preserve input order, and noting that revealPhoneNumber requires webhookUrl (already in schema but reinforced). It also mentions progress notifications related to progressToken, which is not in 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?

The description clearly states 'Enrich up to 100 people via Apollo in one call,' specifying the verb (enrich), resource (people), and scope (up to 100). It distinguishes itself from siblings like apollo_person_enrich (single person) and apollo_people_search (search) implicitly through the batch nature.

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 provides explicit usage guidance: churns into bulk_match calls, fans out with bounded concurrency, retries HTTP 429, isolates per-item failures, and warns about credit consumption and rate limits. It advises confirming total credit cost with the user. However, it does not explicitly state when not to use this tool or compare directly to alternatives, but the context is clear enough for selection.

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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