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Collateral gage takes

gage_assets
Read-onlyIdempotent

Tokens gage admits as collateral now: each one's minimum pledge, its most per loan where one is set (maxPerLoan, null where there is none), whether leverage buys it, how many partner vaults lend against it now (vaults: 0 means none does yet, null that gage's index cannot say; a vault that buys running loans alone funds none and is not counted), a stock's display multiplier (uiMultiplier; amounts here are raw) and its Borrow link on gage.cash; a row names the lend asset it is borrowed in, once there is more than USDG.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description does add real behavioral context: null semantics for maxPerLoan and vaults, the rule that a vault funding only running loans is not counted, and that reported amounts are raw while uiMultiplier is display-only. That is useful beyond the annotations, though it is framed as field documentation rather than operational behavior.

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?

There is no filler, and the leading clause front-loads the resource, but the body is one long run-on sentence built from stacked parentheticals, which makes it hard to scan. The content earns its place; the packaging could be broken into a short list of returned fields.

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?

With no output schema, the description must carry the return-value burden, and it does: it enumerates the per-token fields, their null meanings, and the row-level lend-asset rule. Remaining gaps are minor (ordering, whether the list is exhaustive, and whether it changes over time), and are partly covered by openWorldHint.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description instead spends its words on output semantics, which is the right use of space here.

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

Purpose4/5

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

"Tokens gage admits as collateral now" names a concrete resource and makes clear that this is a reference listing of eligible collateral rather than a quote or an action. It does not explicitly contrast itself with siblings such as gage_earn_vaults or gage_lp_vaults, but the domain object (collateral assets, not vaults or loans) is distinctive enough to route an agent.

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?

The description never says when to call this versus gage_borrow_quote, gage_leverage_quote, or the prepare_* tools, nor does it state any precondition. An agent must infer from the field list that this is a pre-borrow reference lookup. No exclusions or alternatives are named.

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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