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Glama

Aave

by com.aave.mcp

Get individual position items (v4)

get_position_items
Read-only

v4 only. The individual supplies or borrows inside one v4 spoke: principal, accrued interest and what is withdrawable right now, per item, which the per-spoke aggregate from get_user_positions cannot show. Get 'spokeId' from get_user_positions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNoWhich side to list (default supply).
userYesWallet address, 0x-prefixed (40 hex chars).
spokeIdYesspokeId from get_user_positions (not the spoke address).
versionNoOptional, and only 'v4': this tool exists on v4 only.

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations: it is restricted to v4 and exposes per-item breakdowns rather than aggregates. There is no contradiction with annotations.

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 compact and front-loaded: it begins with the critical 'v4 only' constraint, states the output content, and names the alternative it complements. Every sentence adds distinct value with no repetition.

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

Completeness5/5

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

For a read-only, low-complexity tool with fully documented parameters, the description is complete. Even without an output schema, it tells the agent what data to expect (principal, accrued interest, withdrawable amount) and how to obtain the required spokeId.

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%, so the schema already documents all parameters, defaults, and constraints. The description's only parameter-related addition is the pointer that spokeId comes from get_user_positions, which the schema already states. It does not meaningfully compensate beyond the 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 names a specific verb ('get') and a specific resource ('individual position items'), and clearly defines the content: principal, accrued interest, and withdrawable amount per item. It also explicitly contrasts itself with the per-spoke aggregate from get_user_positions, making the tool's scope unambiguous.

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

Usage Guidelines5/5

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

It states that the tool is v4 only, explains that it fills a gap left by get_user_positions ('which the per-spoke aggregate ... cannot show'), and instructs the agent to obtain 'spokeId' from get_user_positions. This gives clear when-to-use and how-to-prepare guidance with reference to the relevant sibling tool.

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

A4.2/5.0
Disambiguation4/5

The tool set splits into clean families (get_ reads, prepare_ transaction builders, direct state-changing verbs) and the descriptions aggressively cross-reference each other to draw explicit boundaries, e.g. get_user_positions vs get_user_summary vs get_user_activity. A few clusters could still prompt misselection: the four get_user_* tools share a naming shape, get_started and get_aave_guide both claim the 'when nothing fits' role, and get_hub_assets vs get_markets both return rate data at different aggregation levels.

Naming Consistency5/5

Every tool follows a verb_noun pattern with a highly predictable convention: get_ for all read operations, prepare_ for every unsigned-transaction builder, and direct imperatives (cancel_order, submit_signed_order, preview_action) for the rest. search_governance_proposals is the only read not named get_, but search_ is semantically apt for full-text lookup. The get_/ prepare_ split is instantly legible across all 40 tools.

Tool Count2/5

40 tools is well past the 25+ 'too many' threshold, and even Aave's genuinely wide scope (v3 and v4 lending, governance, sGHO, rewards, intent orders) does not fully justify the surface. get_started and get_aave_guide overlap as guidance entry points, the three history tools and the get_user_* cluster add near-duplicate reads, and the paragraph-long descriptions compound the agent's context burden. Most tools earn their place individually, but the set would be stronger consolidated to roughly 25-30 tools.

Completeness4/5

Core workflows are fully covered with no dead ends: preview_action simulation, prepare_action and prepare_set_* builders, get_transaction_processed polling, plus the complete order lifecycle (quote, prepare, submit, status, cancel) and sGHO/rewards coverage. Minor gaps remain: governance is read-only with no way to cast a vote, the server cannot read a stkGHO balance or cooldown state for the migration flow, and there is no stkAAVE staking surface. These are workaroundable, and the v3/v4 dual-version handling is unusually thorough.

Resources