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This connector has been deprecated

This connector has been replaced by https://glama.ai/mcp/connectors/io.phas/phasio

import_read

Read-onlyIdempotent

Read import plans. action=operations: the operations and their args. action=plans: the plans of the account. action=plan (planId): status, counts, the first errors and the files to upload; for a batch, its queue and whose turn it is. action=errors (planId, page?): every operation with an error, 50 a page. See import_write for the workflow.

Input Schema

NameRequiredDescriptionDefault
pageNo
actionYes
planIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld=false, so the safety profile is covered. The description adds genuinely new behavior: error listing is paginated at 50 per page, plans include counts and first errors, and batches expose queue state and turn order. Auth requirements and full pagination semantics for non-error actions remain unstated.

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?

Front-loads the one-line purpose, then organizes the remainder by action with zero filler. Every clause adds distinct information (return contents, pagination size, batch semantics) and the sibling pointer closes it in a single short sentence.

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?

With no output schema, the description correctly supplies return-value expectations per action (status, counts, first errors, files to upload, queue/turn) and the pagination size. Combined with the import_write pointer, an agent has everything needed to invoke and interpret this tool.

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?

Schema coverage is 0%, so the description must carry all parameter meaning and largely does: it enumerates the four action values and says what each returns, and explains planId's role for plan/errors. The page parameter's applicability is only implied ("50 a page" under errors), leaving some ambiguity about whether it applies to other actions.

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?

States a specific verb+resource ("Read import plans") and then breaks the capability down by action, so the agent knows exactly what each mode returns. It explicitly names the sibling import_write for the write side of the workflow, making the read/write split 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 action-by-action breakdown effectively tells the agent which action to pick for which need (list operations, list plans, inspect one plan's status, or page through errors). It names import_write as the workflow companion, but gives no explicit 'when not to use' or prerequisite/permission conditions.

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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