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verify__request_verification_challenge

[verify] Step 1 of wallet verification: get a fresh challenge for the user to sign.

chain: "evm" or "solana". Pass agent_id (your marketplace identity) so the proof is bound to you. Present challenge to the user, have their wallet sign it (EVM personal_sign / Solana signMessage), then call verify_wallet_ownership with the returned nonce + signature. The challenge is single-use and expires (~10 min). Returns {challenge, nonce, expires_at}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoevm
addressYes
agent_idNo

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: the challenge is single-use, expires in ~10 minutes, and the returned object structure. It also explains the binding of agent_id. However, it does not mention what happens on invalid requests, rate limits, or any authorization requirements, but these are less critical for this non-destructive challenge-generation step.

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 compact yet rich. It front-loads the purpose ('Step 1 of wallet verification') and each subsequent sentence adds necessary protocol detail (chain options, agent_id binding, signing flow, expiry, return value). No filler or repetition; 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?

For a tool with no output schema and low schema coverage, the description is quite complete. It explains the return shape, the follow-up action, and the single-use/expiry behavior. Missing are the meaning of the 'address' parameter and any error/edge-case handling, but the essential invocation context is present.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for all parameters. It explains the 'chain' values and the purpose of 'agent_id', but the required 'address' parameter is never described. An agent might infer it is the wallet address to verify, but that is not explicitly stated. This gap in a required parameter is significant.

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 the tool's purpose: 'Step 1 of wallet verification: get a fresh challenge for the user to sign.' This is a specific verb+resource action, and it distinguishes itself from the sibling tool verify_wallet_ownership by explicitly labeling it as step 1 and describing the follow-up call.

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

Usage Guidelines5/5

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

The description provides explicit usage guidance: it explains the workflow step-by-step, tells the agent to present the challenge to the user, and instructs to call verify_wallet_ownership with the returned nonce and signature. It also specifies allowed values for chain. This clearly differentiates when to use this tool versus the verification sibling.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct metric or action: attention shifts, buzz score, trending, and narrative tracking measure different facets; longs, shorts, and setups use different strategies; market regime, breadth, and summary are clearly separated. No two tools appear to produce the same output.

Naming Consistency5/5

All tools follow a consistent pattern: a subsystem prefix (marketsummary__, tokensafety__, verify__) followed by an imperative verb_noun in snake_case. Verbs are predictable (get, find, track, ask, check, request, verify) and objects are clear, making the naming highly uniform.

Tool Count4/5

24 tools is above the typical 3-15 range, but the server covers a broad market-intelligence domain with distinct feature areas. The tools are namespaced by subsystem, which helps agents navigate, but the volume still adds selection overhead.

Completeness4/5

The set covers market analysis, trending, sentiment, trade setups, token safety, and wallet verification for premium access. Minor gaps exist (e.g., no direct price/OHLC tool or token search), but agents can work around them using the provided tools.

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