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Glama

satoshidata — Bitcoin entity intelligence

entity_list

Return named Bitcoin entity rollups, optionally filtered by category. coverage_status indicates whether each rollup is full, substantial, partial, or seed-only coverage; last_activity_at is label-DB activity, not last on-chain transaction time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoEntity rollup sort order.balance
limitNoMaximum entity rollups to return.
categoryNoOptional entity category filter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
errorNo
endpointYes
status_codeYes

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description adds value by clarifying that last_activity_at is label-DB activity, not on-chain time, and explaining coverage_status values. However, it does not disclose other behavioral aspects like idempotency, rate limits, or prerequisite permissions.

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 one sentence followed by a clarifying note, both concise and front-loaded with the main purpose. No redundancy or fluff.

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?

Given an output schema exists (context confirms) and 3 parameters with full schema coverage, the description adds needed output field clarification. It covers the essential behaviors for a filtered list tool, though it omits pagination details beyond the limit parameter.

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% (all three parameters have descriptions), so baseline is 3. The description does not add extra meaning to the parameters beyond the schema; it mainly explains output fields. No added value for parameters.

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 clearly states it returns named Bitcoin entity rollups with optional filtering by category, and explains key output fields (coverage_status, last_activity_at). This distinguishes it from sibling tools like entity_lookup, entity_categories, and entity_recent_activity.

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 explicit guidance on when to use this tool versus alternatives or when not to use it. The description only states what it does, not the context of use among 45+ sibling tools.

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

B3.2/5.0
Disambiguation3/5

Multiple tools cover similar address intelligence (e.g., address_intelligence, address_risk, risk_check, wallet_summary) and dormant coin detection (pulse_dormant, dormancy_flushes, chain_awakenings), causing potential confusion despite descriptive names. Some overlap exists but descriptions help differentiate.

Naming Consistency4/5

Tools use snake_case and generally follow a verb_noun or noun_verb pattern (e.g., address_evidence_pack, batch_intelligence, fees_recommended). However, a few tools like submit_feedback and verify_timestamp start with verbs, while others start with resources, causing minor inconsistency.

Tool Count3/5

44 tools is high for a wallet intelligence server, covering many subdomains (address, batch, blockchain, mempool, mining, timestamping, etc.). While each tool has a specific purpose, the count feels heavy and could be consolidated, but it's not extreme given the broad scope.

Completeness5/5

The tool set thoroughly covers Bitcoin wallet and on-chain intelligence: address lookup, risk, evidence, batches, blocks, mempool, fees, mining pools, timestamping, transaction broadcast/verification, pulse feeds, whales, and more. No obvious gaps for the stated purpose.

Resources