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Glama

AI Agent Tokenized Stock OS

stocktoken_fees

Summarize disclosed AATOS execution fee events and on-chain monetization status (treasury / ETH fees).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 burden. It correctly indicates read-only behavior by stating 'summarize' and 'status', which implies no destructive actions. However, it lacks details on authentication or rate limits, but for a simple summarization tool this is adequate.

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, efficient sentence that starts with the verb 'Summarize' and contains no extraneous words. It is front-loaded and to the point.

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 no-parameter, no-output-schema tool, the description sufficiently explains the purpose. It could mention return format or data freshness, but the context is clear given the tool's simplicity.

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?

There are no parameters (schema coverage 100%), so baseline is 4. The description adds meaning by specifying what the summary includes (fee events, treasury/ETH fees), going beyond the empty schema.

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 the tool summarizes AATOS execution fee events and on-chain monetization status, using specific verbs and resource context. It distinguishes itself from sibling tools that cover pricing, metrics, or other aspects.

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?

No explicit guidance on when to use this tool versus alternatives is given. It implies a read-only fee summary role but does not mention alternatives or scenarios where other tools are more appropriate.

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

C2.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some pairs (e.g., stocktoken_quote vs stocktoken_simulate, stocktoken_protocols vs stocktoken_find_pools) could cause confusion if descriptions are not read carefully.

Naming Consistency3/5

All tools share the 'stocktoken_' prefix, but the pattern is inconsistent: some use verb_noun (access_activate, execute_plan), others use single verb (get, list, simulate), and some use noun phrases (metrics, liquidity_matrix, morpho_deposit_plan).

Tool Count2/5

37 tools is high for an MCP server, covering access, subscriptions, sessions, tips, and trading. While many are needed for a full on-chain system, the count feels excessive and could be streamlined.

Completeness4/5

The server covers most major operations: listing, pricing, quoting, simulation, execution planning, liquidity, access control, and system management. Minor gaps exist (e.g., no broadcast tool, no explicit cancel/undo), but overall it's comprehensive.

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