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get_credit_ladder

[FREE] Read the SolvScore micro-limit ladder for one wallet.

Returns the published rungs ($10 starter, then $25 / $50 / $100 / $250 as repayments are recorded), this wallet's current rung and limit, its recent ladder events, and any underwriting decision once it graduates. A wallet with no attestation reads as no ladder at all — that is the honest answer, not an error.

Input Schema

NameRequiredDescriptionDefault
walletYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it declares the read-only, free nature, summarizes what is returned (published rungs, current rung and limit, recent events, graduated underwriting decision), and explicitly defines the empty-state behavior so the agent does not treat a valid empty result as a failure. It omits any note on auth requirements or rate limits, keeping it from a 5.

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?

Front-loaded with the verb and scope, then return contents, then the edge case — three short blocks with no wasted sentences. The rung enumeration is compact and directly informative about what the call returns.

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 one-parameter, free read tool with an output schema, this covers purpose, return shape in summary, and the empty-state semantics, so the agent can call it correctly. The only real gap is wallet identifier format, which matters because the schema says nothing about it.

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 0%, so the sole 'wallet' string parameter is undocumented in structured data. The description only implies a single wallet identity ('for one wallet') and adds no format guidance (address encoding, chain, ENS), leaving the agent to infer the address shape.

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 and resource ('Read the SolvScore micro-limit ladder') scoped to 'one wallet', which separates it from sibling writers like start_credit_ladder and record_credit_ladder_repayment and from aggregate views like get_credit_market_stats. An agent knows exactly what it is asking for without opening the schema.

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

Usage Guidelines4/5

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

The '[FREE]' tag signals no payment is required, implicitly steering the agent here rather than to paid siblings, and the description clarifies the no-attestation case ('reads as no ladder at all — that is the honest answer, not an error'), which prevents misdiagnosis. It does not explicitly name an alternative tool to use in any scenario, so it stops short of a 5.

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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