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Glama

Token Allowance

token_allowance
Read-onlyIdempotent

ERC-20 allowance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
ownerYes
spenderYes
contractYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
allowanceNoAllowance amount in wei as hex string

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

D1.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the agent knows this is a safe read operation. However, the description adds no additional behavioral context, such as return format, pagination, or edge cases, leaving the agent with only the annotations.

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

Conciseness2/5

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

The description is extremely short, but this is under-specification rather than conciseness. It lacks a verb and essential information, making it insufficient for an agent to understand the tool's function.

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

Completeness2/5

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

For a read-only tool with an output schema, a brief description might be acceptable, but the lack of clear purpose and parameter semantics makes this description incomplete. The agent cannot determine what inputs mean or what the tool returns without additional assumptions.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no parameter explanations. While owner and spender are self-explanatory, the 'contract' parameter is ambiguous and not clarified, and there is no guidance on valid values or formats beyond the example in the schema.

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

Purpose1/5

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

The description 'ERC-20 allowance' is a tautology that merely restates the tool name/title. It does not specify a verb or clearly indicate that the tool retrieves an allowance, and it fails to distinguish from sibling tools like token_balances or token_metadata.

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives. There is no mention of context, prerequisites, or scenarios where this tool is 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
Disambiguation3/5

The 40 tools span Ethereum RPC, Pipeworx data lookup, prediction markets, memory, and subscriptions, creating several overlapping clusters (ask_pipeworx variants, polymarket_edges vs polymarket_arbitrage vs bet_research). Detailed descriptions help, but an agent could still misselect among the deeply related prediction-market tools or the ask_pipeworx family.

Naming Consistency3/5

Snake_case is consistent, but the convention mixes verb-first names (ask_pipeworx, validate_claim, generate_llms_txt) with noun-first names (token_balances, nft_owners, recent_alerts) and RPC-derived names (eth_call, asset_transfers). It is readable but lacks a uniform verb_noun pattern.

Tool Count2/5

40 tools is well over the 25+ threshold for a coherent surface, and the server is named 'Alchemy Eth' while the majority of tools belong to Pipeworx and Polymarket. The count is far too heavy for the apparent Ethereum-focused scope, and would benefit from being split into separate servers.

Completeness3/5

The Ethereum subset is read-heavy (transfers, tokens, NFTs) but the generic eth_call passthrough covers arbitrary RPC methods, partially filling gaps. The Pipeworx side is fairly complete with query, research, grounding, subscriptions, and memory. Overall, the mixed domain makes the full surface feel incomplete with no unified lifecycle.