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Saylor Innovations: pay-per-call data

Full token snapshot

get_token_snapshot
Read-onlyIdempotent

Complete Watchdog snapshot for a Solana token in one call: price, liquidity, holders, pairs, socials, security flags, and the security/liquidity/momentum/composite scores. Costs $0.005.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesSolana mint address (base58).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), lowering the bar. The description adds genuine value beyond them by disclosing the $0.005 cost, a real behavioral trait an agent needs before committing, plus the comprehensive data scope. No contradiction with annotations; the return format isn't detailed but there is no output schema to contradict.

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?

A single sentence that front-loads purpose, lists contents, and closes with the cost. Zero filler; every clause earns its place and the cost disclosure is placed at the end where it reads naturally. Ideal density for an agent-facing definition.

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?

For a single-parameter aggregate snapshot with strong annotations and full schema coverage, the description is nearly complete: it enumerates the data categories returned and the cost. It doesn't describe the response structure or pagination, and with no output schema to lean on that is a minor gap, but the enumerated contents give an agent enough to judge relevance before calling.

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 coverage is 100% — the sole parameter mint is already described as a 'Solana mint address (base58)'. The description adds no extra parameter semantics beyond what the schema documents, so the baseline 3 applies. The description implies the mint targets a Solana token but adds no syntax or format detail beyond 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: 'Complete Watchdog snapshot for a Solana token in one call' and enumerates the delivered data (price, liquidity, holders, pairs, socials, security flags, scores). The word 'Complete' plus the single-call framing distinguishes it from single-aspect siblings like check_token_price, check_token_holders, and check_token_security, so an agent can tell them apart without opening schemas.

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

Usage Guidelines3/5

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

The phrase 'in one call' implies this is the all-in-one aggregation tool versus the granular single-aspect checkers, and the $0.005 cost signals a paid call. However, it never names an alternative or states when NOT to use it (e.g., when only price is needed, prefer check_token_price). The usage context is clear but implicit; no explicit exclusions or alternative routing.

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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