Company Enrichment MCP Server

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

With no annotations, the description carries the burden and does well: it discloses that no API key is required, that results are a limited preview, and precisely which fields the paid tier adds on top. It omits rate limits, read-only/vs cached behavior, and any failure mode for an invalid or apex-only domain.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The preview scope and returned signals are front-loaded in the first clause, with the upsell to the paid tool last, which is the right ordering. It is dense but each clause carries information, though the paid-tier feature list is long enough to drift toward marketing copy.

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

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

No output schema exists, and the description compensates by naming the concrete return fields, which is the key missing piece. Rate limits, quota, and an invalid-domain failure path remain undocumented, a modest gap for a trivial single-parameter read.

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

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

Schema coverage is 100% and the single parameter is already documented with an example and apex hint. The description only repeats 'company domain' without adding format, normalization, or validation guidance beyond the schema, so the baseline 3 applies.

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

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

States a specific verb and resource (keyless DNS/RDAP enrichment preview for a company domain) and enumerates exactly which signals it returns: MX provider, TXT SaaS, RDAP age/registrar. It also distinguishes itself from the paid /company/enrich, so an agent can tell what this tool does and does not produce.

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

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

Clearly frames itself as a free, keyless preview and routes to get_premium_access for the full record, so the free-vs-paid choice is explicit. It does not mention when to prefer the sibling resolve_company or search_jobs, leaving one routing decision unstated.

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

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the no-account requirement, inline wallet payment model, and 402 flow, but it does not clearly state whether calling this tool itself is free/read-only or whether it can initiate payment, leaving a meaningful side-effect ambiguity despite the tool's zero-parameter nature.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loads the main purpose, with the layer and price details following immediately. It is dense but mostly earns its length; a small amount of jargon reduces clarity slightly.

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

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

For a zero-parameter, no-output-schema informational tool, the description adequately lists what is returned: metered layers, exact prices, pay-to address, and 402 flow explanation. The main remaining gap is explicit confirmation that the call itself does not transact and the expected return format.

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

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

The tool has zero parameters, so there are no parameter semantics to explain and the baseline is 4. The description appropriately focuses on returned information rather than parameter behavior.

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

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

The description states a specific resource: it returns the paid x402 rail details, including metered depth layers, exact USDC/Base prices, pay-to address, and 402 flow. It is clear what the tool provides, though the phrase "Return the paid x402 rail" is somewhat jargon-heavy and the tool is not explicitly differentiated from its siblings.

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

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

Usage context is implied by "No account; an x402-aware client pays inline from the agent's wallet," which tells the agent this is for discovering premium payment details. However, there is no explicit when-to-use guidance, no exclusions, and no reference to alternatives or prerequisites beyond the payment client requirement.

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

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

No annotations exist, so the description carries the full burden. It does useful work by disclosing the return shape {platform, token, via} and that the call is free, but it omits failure modes (unknown company, ambiguous platform), rate limits, and what 'via' actually signifies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences: capability and input forms first, then the return shape and cost. Nothing is redundant and the key information is front-loaded.

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

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

For a one-parameter lookup with no output schema, the description supplies the return fields and the free-tier detail an agent needs to sequence it before paid enrichment. Only the unresolved-company behavior and the meaning of 'token'/'via' are left implicit.

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

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

Schema coverage is 100% and the single parameter is documented with matching examples ('bunq' / 'bunq.com'), so the description's 'bare slug or domain' mostly restates the schema. Baseline 3 applies; no extra syntax or normalization rules are added.

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

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

States a specific verb and resource: resolve which applicant-tracking system a company uses and its board token, plus the accepted input forms. It is clearly distinct from search_jobs and list_platforms, but it never mentions how it differs from enrich_preview or get_premium_access, which could plausibly overlap on company lookups.

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

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

Usage is only implied: 'from a bare slug or domain' tells you what to feed it, and 'Free' hints at a cost distinction against get_premium_access. There is no explicit statement of when to choose this over enrich_preview, nor what happens when resolution fails or returns nothing.

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

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

With no annotations, the description carries the full behavioral burden and does so well: free, keyless, no account, no SMTP ping, one full record versus truncated records for extras. It also discloses the exact output shape for the primary address and for additional addresses, which an agent needs in order to interpret results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the key facts: free, keyless, one full grade. It is dense but well organized, with the main behavior and the upsell/alternative at the end. Slightly long for two parameters, but no sentence is wasted.

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

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

For a two-parameter preview tool with no output schema and no annotations, the description supplies everything an agent needs: cost, auth, what is checked, what is returned for one versus many addresses, and where the paid alternative lives. Nothing material about calling or interpreting the tool is missing.

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

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

Schema coverage is 100% and both parameter descriptions already state that email is graded in full while emails' first entry is full and the rest return only {deliverable, grade}. The description reinforces this but adds no syntax, format, or constraint details beyond what the schema already provides.

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

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

States a specific verb and resource: a free, keyless email-deliverability preview that grades one address in full, with an explicit list of checks (syntax, MX, provider, SPF/DMARC, flags, typo did-you-mean, A–F grade). It clearly distinguishes itself from the paid sibling by naming the full /email/verify endpoint and routing metered access through get_premium_access.

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

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

Makes the single-address use case explicit and explains what happens if more addresses are supplied (only {deliverable, grade}). It also points to get_premium_access for the paid, bulk-capable endpoint. It stops short of explicit when-not-to-use conditions beyond that contrast, so 4 rather than 5.

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