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Glama

token_outcome

Did this token survive or RUG? Re-reads live liquidity/volume and compares to what fingers saw before (launch snapshot + earlier checks), then records the fresh reading. Answers 'did it rug / is it dead / can I still sell'. Works on any chain incl. Solana + Robinhood; most powerful on a token fingers has history on. Give a contract/mint address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNooptional chain hint (ethereum, base, robinhood, solana...)
addressYesthe token contract/mint address

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses a side effect ('records the fresh reading') and its comparative approach, but does not elaborate on persistence, reversibility, or required permissions. This is partial transparency.

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

Conciseness4/5

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

The description is three sentences and front-loaded with the core question. Some redundancy exists between 'Did this token survive or RUG?' and 'Answers 'did it rug / is it dead / can I still sell'', but overall it is compact and readable.

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?

With no output schema or annotations, the description provides the essential context: what the tool does, when it's most useful, and what questions it answers. However, it does not specify the exact return format or the operational implications of 'recording,' leaving some gaps.

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% for both parameters. The description's instruction 'Give a contract/mint address' reinforces the 'address' parameter but adds no meaningful detail beyond the schema. The chain hint is also not elaborated.

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's function with specific verbs ('Re-reads live liquidity/volume and compares...', 'records the fresh reading') and the resource (token outcome). It distinguishes itself from sibling tools like rug_check or token_security by focusing on survival based on historical comparison, making its purpose unambiguous.

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 description provides contextual guidance: 'Works on any chain incl. Solana + Robinhood' and 'most powerful on a token fingers has history on.' This implies when the tool is most useful (when historical data exists) but does not explicitly exclude alternatives or name when-not-to-use.

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

A3.7/5.0
Disambiguation3/5

Many tools share the same core purpose (safety checks) differentiated mainly by chain or asset type, and descriptions are detailed enough to distinguish them most of the time. However, pairs like rug_check/rugcheck and deployer_check/deployer_reputation have overlapping purposes that could lead to misselection.

Naming Consistency3/5

Most tool names follow a lowercase snake_case pattern with clear descriptors, but there are notable exceptions like 'rugcheck', 'defillama', and 'verify'. Additionally, the 'rug_check' vs 'rugcheck' pair is an obvious naming inconsistency.

Tool Count2/5

44 tools is excessive for any server. Even for a broad security/due-diligence purpose, many tools (especially the robinhood_* series) are highly specialized and could be consolidated into fewer actions.

Completeness4/5

The tool surface is impressively comprehensive, covering token/NFT safety, transaction simulation, whale/address tracking, stock analysis, prediction markets, and project validation. Minor gaps exist (e.g., no ENS resolution or stock price history), but they are not critical for the server's core purpose.

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