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Concierge Intel

intel_trenches

intel-trenches — $0.10 USDC/USDG/USDT x402 (or TCX credits). POST https://conc-exe.xyz/api/concierge-intel-trenches. Default body: {"address":"So11111111111111111111111111111111111111112","chain":"solana"}. Unpaid calls return live PAYMENT-REQUIRED accepts (Solana/Base/Arbitrum USDC · Robinhood USDG · BNB USDT/USDC Permit2).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoJSON POST body for the intel/security route
agentIdNoOptional Concierge agent id (agt_…)
creditsWalletNoSolana wallet for TCX prepaid credits (x-tcx-credits-wallet)
paymentSignatureNoBase64 PAYMENT-SIGNATURE after x402 settlement. Omit to receive a structured payment challenge (or settle via creditsWallet / SOON holder headers).
soonHolderWalletNoSolana wallet for SOON/TCX holder free tier (X-Soon-Holder-Wallet)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose the paid nature ($0.10), the x402/TCX credit payment paths, and that unpaid calls return a structured payment challenge. However, it says nothing about post-payment behavior, response format, or side effects, leaving a meaningful transparency gap.

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

Conciseness3/5

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

The description packs pricing, endpoint, default body, and payment methods into one dense run-on sentence. It is brief but poorly structured; the critical purpose statement is missing and the payment-accept details are buried in a long tail.

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

Completeness2/5

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

With no annotations and no output schema, the description must carry the full burden. It explains payment mechanics and defaults, but omits what the tool computes or returns, how the 'body' parameter is used beyond the default, and what a successful response looks like. An agent cannot confidently invoke this beyond blind forwarding.

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% and every parameter is individually documented, so the baseline is 3. The description adds the default body shape and payment-related headers, which slightly enriches context, but most parameter semantics already live in the schema.

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

Purpose2/5

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

The description gives the endpoint, pricing, and default payload, but never states what 'intel-trenches' actually does or returns. The name is opaque and no functional verb or resource outcome is provided, so an agent cannot tell whether this provides on-chain trench analysis, sentiment data, or something else.

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

Usage Guidelines2/5

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

No guidance is given on when to choose this over the many intel_* siblings. The description explains the payment flow but not the use case, prerequisites, or selection criteria — an agent must guess which intel tool fits a request.

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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