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Glama

DealScanner

whoami

Return the identity and scopes of the current DealScanner API principal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the core behavior (returning identity and scopes) but does not explicitly state that it is a read-only operation or describe any side-effect-free guarantee. The verb 'Return' implies read-only, but this is not made explicit.

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?

The description is a single sentence, front-loaded with the action, and contains no filler. Every word contributes to understanding the tool's purpose.

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 tool with zero parameters and no output schema, the description is nearly complete. It states what is returned (identity and scopes) and the principal type. While it doesn't detail the exact fields, that is acceptable for a simple whoami tool.

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 has zero parameters, and the schema is empty with 100% coverage. The baseline for 0-parameter tools is 4, and no additional parameter explanation is needed. The description adds no parameter info, which is appropriate here.

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?

The description uses a specific verb 'Return' and clearly identifies the resource: 'identity and scopes of the current DealScanner API principal.' This unambiguously distinguishes it from sibling tools, which all focus on deal/property data rather than authentication context.

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

Usage Guidelines3/5

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

The intended use is implied but not explicitly stated. There is no mention of when to use this over alternatives, though the tool's purpose ('whoami') inherently signals it is for identity/scope introspection. No exclusions or alternative references are provided.

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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TDQS

A3.9/5.0
Disambiguation3/5

Most tools are clearly distinct, but analyze_brrrr overlaps with get_property when given an address and strategy=brrrr, since both can return a BRRRR analysis. The ad-hoc input option for analyze_brrrr and the broader strategy support in get_property help clarify, yet the boundary is not fully crisp.

Naming Consistency4/5

Tool names are mostly snake_case with a verb_object pattern (analyze_brrrr, get_comps, get_property, search_deals), but area_stats and top_investment_areas are noun phrases, and whoami is a standalone command. These minor deviations are easy to predict and remember.

Tool Count5/5

With 7 tools, the server is well-scoped for a real estate deal analysis domain. Each tool covers a distinct high-level task (search, analysis, comps, stats, ranking, identity) without unnecessary redundancy or excessive fragmentation.

Completeness4/5

The surface covers the core lifecycle: searching deals, analyzing properties (flip, rental, brrrr), pulling comps, getting area stats, and ranking areas. A minor gap is the lack of a dedicated 'analyze_flip' or 'analyze_rental' tool, but get_property with strategy handles those cases, so no dead ends.

Resources