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tokenintel_register

Get a free Fan Token Intel API key, self-serve — no human in the loop. Provide a name, an email, and terms_accepted=true; the key (ti_live_...) comes back in the response along with your tier and rate limits. Free-tier keys unlock the whole read-only data layer, event-impact tools included (60 req/min). Pass the key as 'Authorization: Bearer ti_live_xxx' (HTTP) or the TOKENINTEL_API_KEY env var (stdio). Rate-limited to one registration per 10 minutes per caller.

Input Schema

NameRequiredDescriptionDefault
nameYesAgent display name (3-100 chars)
emailYesContact email. The key may require clicking the emailed verification link before authenticated calls succeed.
terms_acceptedYesMust be true to accept the Terms of Use and Privacy Policy (https://fantokenintel.com/legal).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses the response contents (key, tier, rate limits), the exact rate limit (one registration per 10 minutes per caller), and how the resulting key must be presented (Bearer header for HTTP, env var for stdio). It also flags the emailed verification step via the schema, covering the main behavioral surprises.

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 with the core action and outcome, and each sentence adds distinct value (params, response, auth, rate limit). It is dense but not padded, though the parenthetical transport details make it slightly longer than strictly necessary.

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?

No output schema or annotations exist, so the description must explain the return and behavioral envelope — and it does: key format, tier, rate limits, auth usage, and registration throttle. An agent has everything needed to call it and use the result 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 the schema already documents all three parameters. The description only restates them ('provide a name, an email, and terms_accepted=true') without adding format or constraint detail beyond what the schema provides, so the baseline 3 applies.

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 and resource — 'Get a free Fan Token Intel API key' — and immediately differentiates itself from the sibling family of read-only data tools by describing a self-serve registration action. An agent can tell this is the onboarding/credential tool rather than a data query.

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?

It makes the usage context clear ('self-serve — no human in the loop') and explains what a free-tier key unlocks, which implies this is the entry point before calling the data siblings. It does not, however, explicitly state when NOT to call it (e.g. if a key already exists) or name an alternative.

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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