get_transaction
Get transaction details by signature, including status, accounts, instructions, and events
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| signature | Yes | Transaction signature |
Get transaction details by signature, including status, accounts, instructions, and events
| Name | Required | Description | Default |
|---|---|---|---|
| signature | Yes | Transaction signature |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior. It does disclose the kind of data returned, but does not mention edge cases such as invalid signatures, unconfirmed transactions, or error behavior, leaving some gaps for an agent to infer.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, focused sentence that front-loads the core action and key output. Every part earns its place with no redundant wording.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter tool with no output schema, the description provides a useful outline of the returned content. It could be more explicit about possible failure conditions or response shape edge cases, but it gives enough context for an agent to invoke the tool correctly in normal usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already fully describes the only parameter, 'signature', and the description does not add substantial extra detail beyond confirming the parameter's role. Since schema coverage is 100%, a baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool fetches transaction details using a signature and names the key components returned (status, accounts, instructions, events). This distinguishes it from related tools like get_account or list_recent_transactions without ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool should be used when you have a specific transaction signature and need detailed information about that transaction. However, it does not explicitly contrast itself with sibling list tools or mention when alternative tools would be 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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Each tool targets a distinct resource or query type: account, block, transaction, program ABI, account history, recent blocks, recent transactions, and cross-entity search. The generic search tool overlaps somewhat with individual getters, but its role as a unified lookup query is clear.
Tool names consistently follow a verb_noun pattern using get_, list_, or search_. This creates a predictable structure where the verb indicates retrieval mode and the noun indicates the target entity.
Eight tools is well-scoped for a read-only blockchain explorer. The set covers core entities without unnecessary redundancy, and each tool earns its place.
The toolset covers the main explorer workflows: fetching accounts, blocks, transactions, ABIs, and paginated history. Minor gaps such as token-specific balance lookups or direct program-account enumeration exist, but they are not critical for general chain exploration.