login_algochains

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

The description discloses the behavioral trait of storing a session locally for subsequent MFA and key operations, which adds meaningful context beyond the annotations. Annotations already indicate idempotent and non-destructive, but the description explains the side effect. It does not contradict annotations (annotation_contradiction=false).

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

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

The description consists of two sentences, each serving a clear purpose: the first states the core action, the second adds important context. No redundant information is present, and the most important information is front-loaded.

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

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

Given the complexity of an authentication tool, the description covers the main action, authentication method, and side effect. However, it omits details about return values (e.g., session token) or potential error states (e.g., invalid credentials). With no output schema, a bit more context on expected outcomes would improve completeness.

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

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

The input schema has 0% description coverage for parameters; only field names 'email' and 'password' are provided. The description does not add any parameter-level guidance such as format, constraints, or examples. Given the low schema coverage, the description fails to compensate, leaving agents to infer semantics from common knowledge.

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

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

The description clearly states 'Login to AlgoChains with email + password.' This is a specific verb+resource combination that distinguishes it from siblings like signup_algochains, logout_algochains, and refresh_session. The additional context about storing session locally further clarifies the tool's unique role.

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

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

The description implies the tool is for initial login with email/password, but it does not provide explicit guidance on when to use this tool versus alternatives such as refresh_session or MFA-related tools. It lacks explicit when-not-to-use conditions or comparisons to siblings, leaving some ambiguity for the agent.

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