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protocol_health_track_protocol

Track a new protocol and score its health instantly using live GitHub and DeFiLlama data. Add name, repo, and DeFiLlama slug to get an immediate risk/health score.

Instructions

[Protocol Health Oracle] Track a new protocol — Track a new protocol. Scored immediately from live GitHub + DeFiLlama data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name, e.g. "Lido".
chainNoOptional. Default "ethereum".
github_repoYesowner/repo, e.g. lidofinance/core.
defillama_slugYesDeFiLlama protocol slug, e.g. lido.
treasury_addressNoOptional. On-chain treasury address to score (Etherscan balance).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.1

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses only that scoring happens immediately from GitHub + DeFiLlama data; it says nothing about persistence, idempotency, auth requirements, or what happens if the protocol already exists. For a mutation tool this is a substantial gap.

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

Conciseness2/5

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

The core sentence 'Track a new protocol' is duplicated back-to-back, and the '[Protocol Health Oracle]' prefix is marketing filler rather than information. Structure is not front-loaded with anything the agent needs.

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?

For a mutation tool with no annotations and no output schema, the description should explain what the tool creates or persists and what the caller receives. It omits both, leaving the agent unable to predict the tool's effect beyond 'it scores immediately'.

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 all five parameters are already documented with examples in the schema. The description's mention of GitHub and DeFiLlama data loosely maps to the github_repo and defillama_slug params but adds no syntax or format detail beyond what the schema provides. Baseline 3 applies.

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

Purpose3/5

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

The description states a verb and resource ('Track a new protocol') but immediately repeats it verbatim after the '[Protocol Health Oracle]' tag, adding no information. It does not differentiate from siblings like protocol_health_score, protocol_health_list_protocols, or protocol_health_sync_universe, so an agent cannot 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 Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no mention of alternatives such as protocol_health_score or protocol_health_refresh_all. The agent is left to infer the context entirely.

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